...Weidong Lei; Dandan Ke; Pengyu Yan; Jinsuo Zhang; Jinhang Li Purpose This paper aims to correct the existing mixed integer programming (MIP) model proposed by Yadav et al. (2019) [“Bi-objective optimization for sustainable supply chain network design in omnichannel.”, Journal...

... 06 06 2018 28 08 2018 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Uncertainty Supply chain management Optimization Distribution channels Supply networks Supply chain (SC) could be defined as flow of resources, money...

... as multi-objective optimization. It is solved using fuzzy goal programming along with a weighted max-min operator in order to acquire the Pareto-optimal solution. The results from the GLE showed there were two critical supply chain measures including supply chain cost per sales and average order...

... are considered. The preventive replacement of some equipment items can be taken into account by the repair process by considering them as failed. Originality/value – The work falls within a more general framework for optimizing maintenance costs, in the context of integration of multi-site services...

... to industry where increasing market pressures for product diversity require operating multi‐product production lines with negligible set‐up times. The optimization and robustness test approaches employed in this work can be extended to the analysis of more complicated system configurations and higher number...

... of general purpose search methods based on the concepts of genetic evolution and survival of the fittest. The program provides information on component placement sequences and feeder arrangements for optimal assembly times. Initial tests have shown that the size of the parent space affects the convergence...

...Kun‐Lin Hsieh Improving quality is essential work for manufacturing organizations competing in the global marketplace. Parameter optimization is an efficient technique to achieve process improvement. Most parameter optimization studies primarily focus on the quantitative quality response. Only...

... 2001 Cellular manufacturing Resources Non‐linear programming Simulation Optimization Group technology (GT) is a planning philosophy, which takes advantage of part similarity in order to reduce the manufacturing costs. Application of GT based cellular manufacturing (CM) is suggested...

... of Taguchi methods (TM) in an industrial setting for identifying the critical factors affecting a certain process and subsequently reducing process variability. Both the analysis of variance (ANOVA) on mean response and the signal‐to‐noise ratio (SNR) have been carried out for determining the optimal...

...Mou Jianqiang; Lee Moi Keow On the basis of tool life stochastic distributions and tool reliability for the case of tool failure by wear, develops a model for determining optimal tool replacement intervals coupled with the forecasting of tool replacement in a computer‐integrated manufacturing...

... or more solutions that are in some sense optimal. For example, the production lead time of a product can be shortened only if additional resources are provided. In this case the decision maker has to decide whether it is worthwhile to invest in additional equipment and labour to shorten production lead...