Article: Modelling and numerical analysis of seru loading problem under uncertainty Journal: European Journal of Industrial Engineering (EJIE) 2017 Vol.11 No.2 pp.185 - 204 Abstract: As a flexible manufacturing system, seru seisan has been proven to be more competitive in a volatile market than traditional assembly line. In this system, seru loading plays an essential role to deal with the fluctuating demands and uncertain product types. Unfortunately, in practice, seru loading decision-making is mainly based on the supervisor's experience instead of the theoretical research. In this situation, seru loading in a single period under uncertainty is considered in this paper, meanwhile, a fuzzy random bi-objective model is developed to minimise the makespan and the total tardiness penalty cost. To deal with the fuzzy random variables, these uncertain parameters are transformed into the trapezoidal fuzzy variables, which are subsequently de-fuzzified by the optimistic-pessimistic adjustment index Me. After obtaining the equivalent crisp model, a heuristic algorithm based on enumerating feasible solutions is designed. Finally, to demonstrate the practicability, a numerical example is applied, and the generated results verify the efficiency of the proposed model and algorithm for seru loading problem. [Received: 28 April 2016; Revised: 28 July 2016; Accepted: 13 September 2016] Inderscience Publishers - linking academia, business and industry through research

Title: Modelling and numerical analysis of seru loading problem under uncertainty

Authors: Lan Luo; Zhe Zhang; Yong Yin

Addresses: School Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China ' School Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China ' Graduate School of Business, Doshisha University, Karasuma-Imadegawa, Kamigyo-ku, Kyoto, 602-8580, Japan

Abstract: As a flexible manufacturing system, seru seisan has been proven to be more competitive in a volatile market than traditional assembly line. In this system, seru loading plays an essential role to deal with the fluctuating demands and uncertain product types. Unfortunately, in practice, seru loading decision-making is mainly based on the supervisor's experience instead of the theoretical research. In this situation, seru loading in a single period under uncertainty is considered in this paper, meanwhile, a fuzzy random bi-objective model is developed to minimise the makespan and the total tardiness penalty cost. To deal with the fuzzy random variables, these uncertain parameters are transformed into the trapezoidal fuzzy variables, which are subsequently de-fuzzified by the optimistic-pessimistic adjustment index Me. After obtaining the equivalent crisp model, a heuristic algorithm based on enumerating feasible solutions is designed. Finally, to demonstrate the practicability, a numerical example is applied, and the generated results verify the efficiency of the proposed model and algorithm for seru loading problem. [Received: 28 April 2016; Revised: 28 July 2016; Accepted: 13 September 2016]

Keywords: seru loading; multi-objective models; fuzzy random variables; heuristics; mathematical modelling; uncertainty; flexible manufacturing systems; FMS; makespan; total tardiness.

DOI: 10.1504/EJIE.2017.083255

European Journal of Industrial Engineering, 2017 Vol.11 No.2, pp.185 - 204

Published online: 22 Mar 2017 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article

Title: Modelling and numerical analysis of seru loading problem under uncertainty

Keep up-to-date