In Industry 4.0 the optimal allocation of a pool of available workers is a very important issue. Solving this problem can improve the performance of the company and the life of workers with positive returns on productivity. Moreover, from a computational perspective, this problem is extremely interesting because it could have a combinatorial explosion and become very hard to solve. In this paper, a mathematical model applied to a real business case is presented. Some preliminary tests and results are discussed.

Human-centric factories 4.0: A mathematical model for job allocation

PINZONE, MARTA;FANTINI, PAOLA MARIA;TAISCH, MARCO
2016

Abstract

In Industry 4.0 the optimal allocation of a pool of available workers is a very important issue. Solving this problem can improve the performance of the company and the life of workers with positive returns on productivity. Moreover, from a computational perspective, this problem is extremely interesting because it could have a combinatorial explosion and become very hard to solve. In this paper, a mathematical model applied to a real business case is presented. Some preliminary tests and results are discussed.
2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016
Allocation, Min of max, Minimization, MLP, Optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1015870
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