Formulating the right labor mix for a Malaysian food manufacturer

Muthusamy, Vimalambigai; Rasid, Siti Zaleha Abdul

doi:10.1002/joe.21899

Cited by 1 publication

(1 citation statement)

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“…In this section, formulae and ratios are provided for modelling effects on internal action ( S int ) from disturbances. Heuristic ratios are applied widely in planning of production work [ 74 , 75 ], including for characterizing effects on production from the different attributes of different worker types [ 76 , 77 ] to determine the most suitable mix of worker types [ 78 , 79 ]. The ratios stated in this section are novel, as they are for different effects on S int in production work due to different attributes of human, cyborg, and robot workers.…”

Section: Heuristic Modelling Of Effects On Internal Action ( mentioning

confidence: 99%

Variational Principle of Least Psychomotor Action: Modelling Effects on Action from Disturbances in Psychomotor Work Involving Human, Cyborg, and Robot Workers

Fox

Kotelba

2019

Entropy

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Optimal psychomotor work can be expressed in terms of the principle of least psychomotor action (PLPA). Modelling psychomotor action encompasses modelling workers, work, and interactions between them that involve different types of situated entropy. Modelling of psychomotor workers encompasses three types of workers: human, cyborg, and robot. The type of worker and the type of work interact to affect positioning actions, performing actions, and perfecting actions undertaken in psychomotor tasks. There are often disturbances in psychomotor work, for example due to weather conditions, which have a determining influence on what work can be undertaken with least psychomotor action by different types of workers. In this paper, findings are reported from a study focused on the modelling disturbances in psychomotor work. Five contributions are provided. First, a heuristic framework for modelling disturbances and their effects is provided. In addition to PLPA and situated entropy, this framework encompasses Markov processes, the theory of perturbations, and calculus of variations. Second, formulae and ratios are provided for heuristic modelling of effects on internal action (S int ) from disturbances to psychomotor work. Third, formulae and ratios are provided for heuristic modelling of effects on external action (S e ). Fourth, examples are provided of heuristic modelling of disturbances in psychomotor work. Fifth, formulae and examples show how task complexity can be modelled heuristically in terms of microstates across the cyber domain and the physical domain of cyber-physical systems. Overall, the study reported in this paper addresses variational aspects of PLPA. Entropy 2019, 21, 543 2 of 26examples are provided of heuristic modelling of disturbances in psychomotor work. Fifth, examples show how task complexity can be modelled heuristically in terms of microstates across the cyber domain and the physical domain of cyber-physical systems. Together, these contributions enable heuristic modelling of effects from disturbances on interactions between diverse psychomotor work and workers: rather than on autonomous systems [1][2][3][4].The study reported here builds upon research reported in two previous papers in Entropy. The first paper [5] provided an explanation of how resources for physical production work, such as work instructions, product components, and workstations, can be carriers of situated information, and also carriers of various types of situated entropy. The second paper [6] expanded upon this [5] by generalizing from examples to the three categories of work setting, work composition, and work uncertainty, and to three aspects of worker action: positioning, performing, and perfecting. In addition, details were provided about the state-of-the-art for psychomotor capabilities of human, cyborgs, and robot workers. Moreover, the principle of least psychomotor action (PLPA) was introduced as follows: the preferred combination of worker types is that which can carry out psychomotor work with the least internal ...

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