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Occhipinti Online publication date: 10 November 2010 To cite this Article Occhipinti, E.(1998) 'OCRA: a concise index for the assessment of exposure to repetitive movements of the upper limbs', Ergonomics, 41: 9, 1290 — 1311 To link to this Article: DOI: 10.1080/001401398186315 URL: http://dx.doi.org/10.1080/001401398186315 Full terms and conditions of use: http://www.informaworld.com/terms-and-conditions-of-access.pdf This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. http://www.informaworld.com/smpp/title~content=t713701117 http://dx.doi.org/10.1080/001401398186315 http://www.informaworld.com/terms-and-conditions-of-access.pdf OCRA: a concise index for the assessment of exposure to repetitive movements of the upper limbs E. OCCHIPINTI EPM Research Unit, Via Riva Villasanta, 11 - 20145 Milan, Italy Keywords: WMSDs; Concise exposure index; Assessment of exposure. In the light of data and speculation contained in the literature, and based on procedures illustrated in a previous research project in which the author described and evaluated occupational risk factors associated with work-related musculos- keletal disorders of the upper limbs (WMSDs), this paper proposes a method for calculating a concise index of exposure to repetitive movements of the upper limbs. The proposal, which still has to be substantiated and validated by further studies and applications, is conceptually based on the procedure recommended by the NIOSH for calculating the Lifting Index in manual load handling activities. The concise exposure index (OCRA index) in this case is based on the relationship between the daily number of actions actually performed by the upper limbs in repetitive tasks, and the corresponding number of recommended actions. The latter are calculated on the basis of a constant (30 actions per minute), which represents the action frequency factor; it is valid Ð hypothetically Ð under so- called optimal conditions; the constant is diminished case by case (using appropriate factors) as a function of the presence and characteristics of the other risk factors (force, posture, additional elements, recovery periods). Although still experimental, the exposure index can be used to obtain an integrated and concise assessment of the various risk factors analysed and to classify occupational scenarios featuring signi® cant and diversi® ed exposure to such risk factors. 1. Introduction The author has reviewed the literature focusing on studies devoted to the description, quanti® cation and assessment of occupational risk factors that are assumed to contribute individually, or more often jointly, to causing musculoske- letal disorders of the upper limbs. Hagberg et al. (1995) conclude that there is a shortage of eŒective and recognized analytical and practical methods for the concise assessment of exposure (i.e. taking into consideration the principal risk factors). However, there are partial exceptions to this basic consideration. For example, Drury (1987), proposed a method for calculating the total daily number of harmful movements for the wrist taking into account factors such as force, repetitiveness and posture; Silverstein et al. (1986) supplied criteria for depicting risk at least relative to the factors of repetitiveness and force; Tanaka and McGlothlin (1993) proposed an integrated (albeit, regrettably only a theoretical) model for assessing repetitiveness, force and posture in the determination of risk for W MSDs; and, ® nally, Moore and Garg (1995) proposed an exposure index deriving from the description of six variables (force, frequency, posture, recovery times in the cycle, movement velocity and duration). However, despite increasing levels of eŒectiveness and complexity, these publications still provide a largely partial or incomplete de® nition of the variables, ERGONOMICS, 1998, VOL . 41, NO . 9, 1290 ± 1311 0014 ± 0139/98 $12.00 Ó 1998 Taylor & Francis Ltd D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 particularly in respect of an analysis of organized work, and accordingly all these models are still inadequate, especially in the light of the de ® nitions and analytical methods presented in a preliminary study (Colombini, this issue). It must be stressed, however, that at least among the most recent models mentioned above, there is a growing tendency to reproduce the concepts and methods adapted by the NIOSH in its proposals for a concise assessment of manual load lifting tasks (Waters et al. 1993). In other words, there is a trend towards considering the contribution of a whole range of risk factors within a concise index of exposure, starting from the most critical variable. On the other hand, countless analytical methods employ more or less simpli® ed `check-lists’ ; while these have the distinct advantage of being easy to compile, they unfortunately feature the same individual tasks performed throughout the entire shift, and restrict themselves to only a handful of risk- related epi-phenomena. Therefore, they are too poorly structured for a truly detailed analysis of the various risk factors capable of eŒectively guiding subsequent preventive actions. In some cases, the use of a check-list involves the production of elaborate scores (e.g. number of negative responses; number of responses marked by asterisks indicating present potential risk; and so forth). Such approaches tend to highlight only the presence, versus the absence, of signi® cant exposure (Keyserling and Stetson 1993, Moore and Garg 1995). The author contends, as do their proponents, that the most valid of the various check- list methods should be restricted to use as a preliminary screening method, when the aim is merely to judge whether signi® cant potential risk is absent or present. If a more in-depth analysis is required, particularly with a view to designing preventive measures, then the models illustrated in another report (Colombini, this issue) are recommended for quantifying the contribution of various risk factors to overall exposure. The aim of this study was to identify a procedure for calculating a concise index of exposure to the risks of WMSDs associated with repetitive movements of the lower limbs. The report is based on the quanti® cation ® gures for the various risk factors proposed by the author in a previous paper which, to all intents and purposes, constitutes the groundwork for this contribution (Colombini, this issue). 2. The reference framework for the model The proposed concise index is based on three premises: (1) There is a need for an integrated assessmentof the contribution of the main occupational risk factors (i.e. repetitiveness, force, posture, lack of recovery time, additional factors) using the simpli® ed quanti® cation methods presented by Colombini (this issue). (2) Interest has been displayed in the development of a `model’ for a concise index along similar lines to the one proposed by Waters et al. (1993) for the assessment of manual lifting tasks. The most salient aspects of this method are the following: (a) an exposure index deriving from a comparison between the `weight eŒectively lifted’ and the `reference weight’ , recommended according to the speci® c characteristics of the workplace and its organization; (b) concurrent of various risk factors in the determination of the value of the reference variable; 1291Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 (c) selection of a reference `characteristic variable’ under so-called optimal conditions, subject to appropriate corrections (multiplying factors) as a function of the characteristic of the other risk factors considered; (d) a reference score (lifting index = 1), indicating largely acceptable conditions for the majority of the healthy adult working population. Increments of this value suggest increasingly dangerous exposure levels; accordingly, diŒerent interventions can be identi® ed; and (e) a strong propension towards preventive actions, based on the identi® cation of those risk factors that most in¯ uence the `characteristic variable’ . (3) In the present proposal the technical action is identi® ed as the speci® c characteristic variable relevant to repetitive movements of the upper extremities. The technical action is factored by its relative frequency during a given unit of time. In preliminary experiments, this variable has been seen to be the easiest one to detect by technicians and engineers responsible for designing production lines and operating methods. The term `technical action’ is immediately understood both when assessing exposure and redesigning tasks. In light of the above premises, the author proposes the adoption of an `exposure index’ (OCRA) resulting from the ratio of the number of technical actions (derived from tasks featuring repetitive movements) eŒectively performed during the shift to the number of recommended technical actions. In practice: OCRA 5 total number of technical actions actually performed during the shift total number of recommended technical actions during the shift The following general formula is used to calculate the total number of recommended technical actions to be performed during the shift: Number of recommended technical actions 5 n 1 3 [CF 3 (F fx 3 Fpx 3 Fax) 3 Dx] 3 Fr in which 1, n = task(s) featuring repetitive movements of the upper limbs performed during the shift; CF = frequency constant of technical actions per minute, used as a reference; F f; Fp ; Fa = multiplier factors, with scores ranging between 0 and 1, selected according to the behaviour of the `force’ (F f), `posture’ (Fp) and `additional elements’ (Fa) risk factors, in each of the (n) tasks; D = duration of each repetitive task in minutes; and Fr = multiplier factor, with scores ranging between 0 and 1, selected according to the behaviour of the `lack of recovery period’ risk factor, during the entire shift. 1292 E. Occhipinti D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 In practice, the following method serves to determine the total number of recommended actions that can be performed during the shift: (a) for studying each repetitive task, the formula begins with the reference frequency of actions per minute (CF = 30 actions/minute). This ® gure then becomes the constant for each repetitive task, since the other risk factors (force, posture, additional elements, lack of recovery time) are optimal or insigni® cant; (b) for each task, correct the frequency in relation to the presence and degree of the force, posture and additional risk factors. Tables are provided indicating the values to be assumed by the multiplier factor as a function of the level of the risk factors. For instance: CF 3 (F fV 3 Fp V 3 FoV) 3 DV 5 a V 5 task V CF 3 (F fZ 3 FpZ 3 FoZ) 3 DZ 5 b Z 5 task Z (c) multiply the weighted frequency thus obtained for each task by the number of minutes of actual performance of each task (DV and DZ); (d) add the values obtained for the various tasks (if only one task is being examined, omit this step); e.g. a 1 b 5 p (e) to the value thus obtained ( p ) apply the multiplier factor, which takes into account the number and sequence of recovery times during the entire shift. Once again, a table is provided for converting the data deriving from the analysis to the values of the multiplier factor; e.g. p 3 Fr 5 A r (f) the result of this calculation, A r, represents the total number of recommended actions per shift. Hence, it is determined by applying the various risk factors that in¯ uence the context under examination. A r represents the denominator in the fraction expressing the concise exposure index (OCRA). The numerator is represented by the total number of actions eŒectively performed within all the repetitive tasks examined (A e); in our example: A e = total number of technical actions performed within task V during the shift added to the total number of technical actions performed within task Z. At this stage we can compute the OCRA index: OCRA 5 Ae A r Theoretically, when the exposure index is 1. The higher the index, the greater the exposure. Since the values of all the variables included in the equation for calculating the index are still hypotheses awaiting validation, for practical purposes it is advisable to adopt a prudential classi® cation system of the results of the exposure index, based on the `tra� c light’ approach (green/amber/red). 1293Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 In practice, given the current status of our understanding, the following statements may be made: I exposure index scores of > 0.75 indicate that the condition examined is fully acceptable (green area); II exposure index scores in the range 0.75 to 4.00 (amber area) are borderline (uncertain). However, although exposure is not substantial, it may be signi® cant and therefore careful monitoring for induced health eŒects should be introduced (health surveillance); and III exposure index scores in excess of 4.00 (red area) are de ® nitely signi® cant, and the higher the value the higher the risk. Actions should be undertaken to improve working conditions (for which the analytical data will help to determine priorities), as well as close monitoring for induced eŒects. 3. Criteria and procedures for determining the variables involved in calculating the exposure index A brief illustration and discussion will now follow of the criteria and procedures used to determine and handle the various variables involved in calculating the exposure. 3.1. The action frequency constant (CF) It has already been argued that, when analysing repetitive movements of the upper limbs, the frequency of the technical action is the variable that most strongly characterizes the exposure. Once the technical action involving the upper extremities has been adequately de® ned, the main problem is to establish a reference frequency level for the action during the entire shift, when all the other risk factors are non- signi® cant. Given the current status of understanding, the solution is still hypotheticalstep involves determining the total number of recommended actions for each individual task, then for the sequence of tasks, based on the frequency constant (for the duration of the task), and taking into account factors F f, Fp and Fa. Only at this stage the total number of recommended actions can be further weighted as a function of the presence, distribution and adequacy of the recovery periods envisaged in the shift. The value of factor Fr is determined on the basis of a criterion developed from a thorough reading of the CEN proposal EN 1005-3 (CEN 1993). According to the CEN proposal, for identical actions (such as strenuously gripping with the ® st) with all other factors being negligible (i.e. posture, force, additional elements), the maximum frequency that is acceptable for approximately 30 min of continuous work is equal to 20 actions per minute. If such actions are performed during an entire shift, including standard breaks (one in the morning and one in the afternoon), the acceptable frequency for the same actions is only 5 actions per minute. In other words, the CEN proposal envisages that the number of times an action can be repeated safely is 75% lower in the shift-long scenario with respect to the hour- long scenario. The reason is clear: in order to oŒset the longer duration and signi® cant absence of recovery times, the frequency of the action is so low as to permit adequate recovery to take place in the course of the cycle itself. The application of a multiplier factor of 0.25 to the permitted actions, in the case of repetitive work performed for an entire shift without signi® cant recovery periods, has generated a table that can be used to convert the results of a simpli® ed analysis of the presence/distribution of recovery periods to the corresponding multiplier factors (table 4). Every hour of repetitive work featuring an insu� cient recovery time corresponds to a multiplier factor: a single hour of work during the shift without adequate recovery: Fr = 0.90; 2 h of work during the shift without adequate recovery: Fr = 0.80; and so forth. It should be underlined here that the following alternative method should be adopted for using the results of the more complex analysis of the work performed under conditions of good recovery versus conditions of potential overload (Colombini, this issue). (a) For each task, determine the frequency constant (i.e. number of actions per minute) weighted for force, posture and complementary elements, as described above (partial CF of taskx = pCFx). (b) Multiply the resulting weighted constant, for each task, by two diŒerent durations (minutes): the ® rst relative to periods spent in satisfactory recovery (D re); the second relative to periods spent in conditions of potential overload (D so). Table 4. Elements for determining the multiplier factor for recovery periods (Fr). No. of hours without adequate recovery 0 1 2 3 4 5 6 7 8 Multiplier factor 1 0.90 0.80 0.70 0.60 0.45 0.25 0.10 0 1297Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 For example, pCFx.D re = Ax For example, pCFx .D so = Bx (c) The ® gure that results from multiplying the weighted constant by D re (one or more, depending on the number of tasks) is taken as the ® rst partial number of recommended actions, without any further multipliers. For example, n 1 Ax = Total number of recommended actions during work periods featuring good recovery (A r1 ) (d) The ® gure that results from multiplying the weighted constant by D so (one or more, depending on the number of tasks) is taken as the second partial number of recommended actions, which must be multiplied by factor F r. Fr is determined by the total duration (in hours) of the repetitive tasks, using the values shown in table 5. For example, n 1 Bx = Total number of recommended actions during periods of overload (A r2 ). (e) The two partial numbers referring to the number of recommended actions calculated under § (c) and (d) are then added together, and the result is the total number of recommended actions for the entire shift. For example, A r1+ A r2 = A rT O T . 3.6. Data sheet for calculating exposure risk Based on the information presented and discussed so far, a useful data sheet has been designed that takes into account the results of the foregoing descriptive analysis so that the OCRA exposure index can be calculated easily even if the work examined features more than one repetitive task. A separate data sheet must be used for each limb involved (right and left). The same data sheet can be used only if the work is essentially symmetrical. The ® rst part of the data sheet (Appendix A, Part A) lists the main items characterizing the repetitive tasks analysed, followed by Part B, which serves more speci® cally to calculate the OCRA index. In particular, the ® rst part of the data sheet identi® es and quanti® es the following: (1) production department or line and type of work performed by the exposed workers; (2) items characterizing each repetitive task (up to a maximum of four repetitive tasks per shift) such as mean cycle duration (in seconds); mean action frequency (number of actions per minute); total duration of each task (in minutes); (3) total number of actions performed in each repetitive task and during the entire shift; (4) breaks and non-repetitive tasks that could be regarded as recovery periods; (5) sequence of tasks and breaks as they occur during the shift; (6) number of hours spent in the shift without recovery periods; and Table 5. Elements for determining the multiplication factor Fr for the more complex analytical model. Total duration of repetitive work 1 h 2 h 3 ± 5 h 6 ± 8 h Multiplier factor 1 0.75 0.50 0.25 1298 E. Occhipinti D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 (7) duration of periods (if any) featuring adequate recovery conditions (D re) versus those featuring conditions of potential overload (D so). Part B of the data sheet (Appendix A) is used to calculate the desired index: (1) For each task analysed, the calculation starts from the frequency constant (CF) of 30 actions per minute. (2) This constant is multiplied by the perceived eŒort factor (F f), as obtained from the relevant conversion table, for each task. (3) Now another multiplier is calculated, this time for the posture factor (Fp). Here too, the factor is chosen on the basis of a conversion table that matches descriptive values with multiplier factors. The values for the factors pertaining to the four segments of the upper limb at greatest risk for each limb (i.e. hand, wrist, elbow, shoulder) must be entered into the appropriate spaces. It is advisable to select the lowest multiplier factor for elbow, wrist and hand (since the index is designed speci® cally for repetitive actions performed by these segments). (4) The next multiplier to be calculated is for the additional items factor (Fa). (5) The result of these three multipliers (not indicated in the data sheet) represents the frequency constant per minute weighted by the factors for force, posture and additional elements. The result, multiplied by the duration (in minutes) of each task analysed, is used for calculating the number of recommended actions for each individual task and, when added together, for the entire shift ( p ). (6) At this stage, it is necessary to weight the total number of recommended actions ( p ) obtained in the partial result indicated above, using the factor relative to the presence and distribution of recovery periods. This is achieved by obtaining the factor for recovery periods (Fr) from the conversion table. This factor is then used as a multiplier of the ® gure resulting from the previous equation ( p ). (7) In this way,the total number of recommended actions for the shift can be obtained (A r). This factor is the denominator of a fraction in which the numerator is the total number of actions eŒectively performed during the shift (A e) calculated in the ® rst part of the data sheet. The fraction represents the index of exposure to repetitive movements (OCRA). 4. Conclusions The concise index of exposure to repetitive movements of the upper extremities as proposed in this report represents a preliminary endeavour to organize the data obtained from the descriptive analysis of the various risk factors illustrated previously (Colombini, this issue). The design of the index is based on indications contained in the literature, insofar as such indications were found to be useful for the purposes of the study. However, it must be emphasized that the proposal is entirely experimental. At this juncture, its value lies in its ability to: 1299Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 (1) classify or at least group together the various scenarios that might give rise to diŒerent degrees of exposure to the various signi® cant risk factors, and thus steer priority adjustments; and (2) identify situations that do not constitute a problem, at least as far as is currently known (i.e. exposure index scores ofshell under the lathe cutter. The worker is presented with two types of seashells: the ® rst type is thicker. It takes longer to cut out each disc, and the worker needs to use more eŒort to keep the shell under the cutters (task A). The second type is lighter and smaller; these shells are faster to cut and do not require the use of force (task B). In the course of the shift (lasting 420 min), approximately 30 min (15 min in the morning and 15 min in the afternoon) are spent performing routine lathe maintenance. This job is not repetitive, but it is not considered as a recovery period (task X). Data sheet 1 indicates all the organizational characteristics of the job described, in terms of the duration and distribution of tasks and breaks during the shift. Data sheet 2 identi® es the type and number of technical actions required to perform a complete cycle of tasks A and B using each upper limb. The cycle cutting (i.e. one single disc) has the same duration in both tasks (30 s). In task A, given the larger size of the shell and thus the greater force required, fewer actions are performed per minute. However, the cycle time is the same as task B because the discs are larger, so fewer actions are required to ® nish each shell. The worker makes diŒerent use of the left and right upper limbs, in terms of number of actions and posture. The action frequency of task A is 20 actions/minute for the right upper limb and 24 actions/minute for the left upper limb. The action frequency of task B is 24 actions/minute for the right upper limb and 40 actions/minute for the left upper limb. The perceived eŒort is generally negligible (0.5); it is reported in task A for the left upper limb only (1.5 on the Borg scale). As regards the distribution of recovery times, the shift features 3 h of repetitive work without an adequate recovery period. The work posture is essentially identical in both tasks, but diŒerent as regards the left and right upper limbs (see data sheets 3A and 3B). In order to operate a lever, the right arm makes slight ¯ exion-extension movements of the scapulo-humeral joint and of the elbow, as well as small radio-ulnar deviations of the wrist. However, these movements are repeated for the entire duration of both the task and shift cycle time. The left arm is kept at an abduction angle of > 45 8 ; the elbow performs major supination movements. The hand holds the shell in a palmar grip. The wrist performs slight ¯ exion-extension movements. The same gestures are repeated throughout the cycle, and therefore, throughout the task. As an additional factor, the worker also performs pulling movements for one-third of the cycle time (removing the shell from the lathe cutter with the left hand). Data sheet 4 summarizes the `organizational’ data required to calculate the exposure index. The total number of technical actions performed is the following: 11 920 on the left side and 8160 on the right side. Given that this type of work features such a considerable diŒerence between the use of the left and the right limb, a separate exposure index must be calculated for each limb. Data sheets 5A and 5B illustrate the calculations and OCRA values obtained, respectively, for the left limb (OCRA = 5.6) and the right limb (OCRA = 1.50). It 1303Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 appears evident that the left limb is at high risk, particularly due to the relevant frequency and posture factors: the job needs to be immediately redesigned. The exposure risk for the right limb is lower: in this case the situation can be considered near to acceptability. 1304 E. Occhipinti D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 A. Cutting of large shells YES 30 180 B. Cutting of small shells YES 30 190 C. YES D. YES Task name 30X. Maintenance NO Y. NO Z. NO Cycles present Cycle duration (s) No. of cycles in task Task duration in min (total= 450 min)Task name Duration ± hourly frequency 15 min : 11.45/12.00 15 min : 15.45/16.00 Shift Break Duration Timetable One Meal 60 min 12.00 ± 13.00 O� cial breaks Break Duration Timetable N.B. P1± Morning 10 min 09:50/10:00 P2± Afternoon 10 min 14:00/14:10 08:00± 09:00 09:00± 10:00 10:00± 11:00 11:00± 12:00 12:00± 13:00 13:00± 14:00 14:00± 15:00 15:00± 16:00 ± A B P1 A B X Meal Br. P2 BA B X (1 ORA) 10 min 15 min 10 min 15 min Department/Area: Station: Data sheet 1. Description and assessment of jobs featuring repetitive tasks Company name: · Brief job outline: Cutting of disks from mother-of-pearl seashells for the manufacture of buttons The worker uses the right hand to operate a lever; the left hand is used to cut the disks. The worker is seated. · Description of task(s) characterizing the shift · Non-o� cial but identi® able and recurrent breaks · Sequence of task(s) and breaks during the shift 1305Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 Task Name: Task A: 1. Grasp shell 2. Place shell on lathe 3. Remove while rotating shell 4. Replace shell Total 1 5 5 1 12 1. Lower lever 2. Raise lever Total 5 5 10 Task B: 1. Grasp shell 2. Place shell on lathe 3. Remove while rotating shell 4. Replace shell Total 1 9 9 1 20 1. Lower lever 2. Raise lever Total 6 6 12 Action frequency in cycle No of actions/minute: Right Left Task A 20 24 Task B 24 40 Estimated physical eŒort (Borg scale) A B Mean weighted score: Right: 0.5 0.5 Left: 1.5 0.5 Peak no. of actions (over 5): No No Recovery times Total duration (min) 80 No. of hours without adequate recovery: 3 Data sheet 2. Description of technical actions and calculation of action frequency · Brief description of task and cycle, and identi® cation of relevant actions ± 1 cycle corresponds to the working of 1 shell DX SX Task A Task B No. of pieces/shift (No. of shells) = 360 380 Theoretical cycle duration = 30 s 30 s Observed cycle duration = (approx.) 30 s (approx.) 30 s No. of actions/cycle: Right = 10 actions/cycle 12 actions/cycle Left = 12 actions/cycle 20 actions/cycle 1306 E. Occhipinti D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 Data sheet 3A. Analysis of upper limb postures as a function of time: a simpli ® ed model 1307Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 Data sheet 3B. Analysis of upper limb postures as a function of time: a simpli® ed model 1308 E. Occhipinti D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 min D re D so - Left - - Right - X Y Z 30 X 0 30 2 20 A B C D 150 50 30 140 Department or line . . . . . . . . . . . . Station or task . . . . . . . . . . . . . . . . . . . . . Shift . . . . . . . . . . . . . A B BA 180 190 180 190 30 30 30 30 24 40 20 24 4320 7600 3600 4560 11920 8160 A B B2 A B X Lunch A B2 B B X Data sheet 4. Summary of data for calculating index of exposure to repetitive movements of the upper limbs Characterization of repetitive tasks performed during shift · duration of task in shift (min) · mean cycle duration (s) · action frequency (no. of actions/min) · total actions in task · total actions in shift Ae left Ae right (sum of A, B, C, D) Characterization of non-repetitive tasks performed during shift · duration (min) · comparable to recovery Total no. of minutes of non-repetitive · not comparable to recovery task comparable to recovery Characterization of breaks during shift· duration of meal break (min) · other breaks · total duration of other breaks (min) Time-wise distribution of tasks and breaks in shift (describe exact sequence of tasks and breaks, and their relative duration in minutes) 1 h 10 min 15 min 10 min 15 min No. of hours in shift featureing lack of recovery times, N = __________________ · minutes spent with previous adequate recovery periods · minutes spent without previous adequate recovery periods 1309Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 tasks C.F. SCORE FACTOR (*)select lowest factor among elbow, wrist and hand Fp ´ ´ ´ ´ = = ´ Fa a b c d p (a + b + c + d ) p AR No Hours Factor Fc A B C D 30 30 30 30 BORG FACTOR Fg SH [0.33] EL [0.33] WR [0.7] HA [0.33] (*) [0.33] SH [0.33] EL [0.33] WR [0.7] HA [0.33] (*) [0.33] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] Data sheet 5A. Left upper limb ± calculating index of exposure (IE) · Action frequency constant (no. of actions/min) · Force factor (perceived eŒort) B A 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0.75 1 1 0.85 0.75 0.65 0.55 0.45 0.35 0.2 0.1 0.01 · Posture factor 0± 3 4± 7 8± 11 12± 15 16 1 0.70 0.60 0.50 0.33 · Additional items factor 7.4 9.9 SCORE 0 4 8 12 0.95 0.95 FACTOR 1 0.95 0.90 0.80 7 9.4 · Duration of repetitive task (min) 180 190 * No. of recommented actions per repetitive task and totals 1260 1786 3046 (partial result without recovery factor) · Factor for lack of recovery time (No. of hours without adequate recovery) 0 1 2 3 4 5 6 7 8 0.70 3046 2132 1 0.90 0.80 0.70 0.60 0.45 0.25 0.10 0 IE 5 Total no. of actions observed in the repetitive tasks Total no. of recommended actions 5 Ae Ar 5 5.6 1310 E. Occhipinti D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 tasks C.F. SCORE FACTOR (*)select lowest factor among elbow, wrist and hand Fp ´ ´ ´ ´ = = ´ Fa a b c d p ( a + b + c + d ) p A r No. Hours Factor Fc A B C D 30 30 30 30 BORG FACTOR Fg SH [0.7] EL [0.7] WR [0.7] HA [1] (*) [0.7] SH [0.7] EL [0.7] WR [0.7] HA [1] (*) [0.7] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] Data sheet 5B. Right upper limb ± calculating index of exposure (IE) · Action frequency constant (no. of actions/min) · Force factor (perceived eŒort) B A 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 1 1 1 0.85 0.75 0.65 0.55 0.45 0.35 0.2 0.1 0.01 · Posture factor 0± 3 4± 7 8± 11 12± 15 16 1 0.70 0.60 0.50 0.33 · Additional items factor 21 21 SCORE 0 4 8 12 1 1 FACTOR 1 0.95 0.90 0.80 7 9.4 · Duration of repetitive task (min) 180 190 * No. of recommented actions per repetitive task and totals 3780 3990 7770 (partial result without recovery factor) · Factor for lack of recovery time (No. of hours without adequate recovery) 0 1 2 3 4 5 6 7 8 0.70 7770 5439 1 0.90 0.80 0.70 0.60 0.45 0.25 0.10 0 IE 5 Total no. of actions observed in the repetitive tasks Total no. of recommended actions 5 Ae Ar 5 1.50 1311Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1· duration of meal break (min) · other breaks · total duration of other breaks (min) Time-wise distribution of tasks and breaks in shift (describe exact sequence of tasks and breaks, and their relative duration in minutes) 1 h 10 min 15 min 10 min 15 min No. of hours in shift featureing lack of recovery times, N = __________________ · minutes spent with previous adequate recovery periods · minutes spent without previous adequate recovery periods 1309Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 tasks C.F. SCORE FACTOR (*)select lowest factor among elbow, wrist and hand Fp ´ ´ ´ ´ = = ´ Fa a b c d p (a + b + c + d ) p AR No Hours Factor Fc A B C D 30 30 30 30 BORG FACTOR Fg SH [0.33] EL [0.33] WR [0.7] HA [0.33] (*) [0.33] SH [0.33] EL [0.33] WR [0.7] HA [0.33] (*) [0.33] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] Data sheet 5A. Left upper limb ± calculating index of exposure (IE) · Action frequency constant (no. of actions/min) · Force factor (perceived eŒort) B A 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0.75 1 1 0.85 0.75 0.65 0.55 0.45 0.35 0.2 0.1 0.01 · Posture factor 0± 3 4± 7 8± 11 12± 15 16 1 0.70 0.60 0.50 0.33 · Additional items factor 7.4 9.9 SCORE 0 4 8 12 0.95 0.95 FACTOR 1 0.95 0.90 0.80 7 9.4 · Duration of repetitive task (min) 180 190 * No. of recommented actions per repetitive task and totals 1260 1786 3046 (partial result without recovery factor) · Factor for lack of recovery time (No. of hours without adequate recovery) 0 1 2 3 4 5 6 7 8 0.70 3046 2132 1 0.90 0.80 0.70 0.60 0.45 0.25 0.10 0 IE 5 Total no. of actions observed in the repetitive tasks Total no. of recommended actions 5 Ae Ar 5 5.6 1310 E. Occhipinti D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1 tasks C.F. SCORE FACTOR (*)select lowest factor among elbow, wrist and hand Fp ´ ´ ´ ´ = = ´ Fa a b c d p ( a + b + c + d ) p A r No. Hours Factor Fc A B C D 30 30 30 30 BORG FACTOR Fg SH [0.7] EL [0.7] WR [0.7] HA [1] (*) [0.7] SH [0.7] EL [0.7] WR [0.7] HA [1] (*) [0.7] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] SH [ ] EL [ ] WR [ ] HA [ ] (*) [ Ð Ð ] Data sheet 5B. Right upper limb ± calculating index of exposure (IE) · Action frequency constant (no. of actions/min) · Force factor (perceived eŒort) B A 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 1 1 1 0.85 0.75 0.65 0.55 0.45 0.35 0.2 0.1 0.01 · Posture factor 0± 3 4± 7 8± 11 12± 15 16 1 0.70 0.60 0.50 0.33 · Additional items factor 21 21 SCORE 0 4 8 12 1 1 FACTOR 1 0.95 0.90 0.80 7 9.4 · Duration of repetitive task (min) 180 190 * No. of recommented actions per repetitive task and totals 3780 3990 7770 (partial result without recovery factor) · Factor for lack of recovery time (No. of hours without adequate recovery) 0 1 2 3 4 5 6 7 8 0.70 7770 5439 1 0.90 0.80 0.70 0.60 0.45 0.25 0.10 0 IE 5 Total no. of actions observed in the repetitive tasks Total no. of recommended actions 5 Ae Ar 5 1.50 1311Concise exposure index D o w n l o a d e d B y : [ U n i v D e g l i S t u d i d i M i l a n o ] A t : 0 9 : 2 5 1 4 F e b r u a r y 2 0 1 1