Abstract
A bi-objective production planning for a flexible supply chain solved using NSGA-II and MOPSO
Highlights
Swafford, et al [1] define flexibility as the ability to adapt to sudden changes in customers’ demands [2]
It is imperative that we identify to what extent flexibility dimensions can be incorporated into production planning, as being flexible can cause a rise in a company's costs
The flexibility of the Supply chain has grown to be an essential topic of study for executives and academics
Summary
Et al [1] define flexibility as the ability to adapt to sudden changes in customers’ demands [2]. With the significant development taking place in modern technology and rapid changes in the business environment along with competitiveness, companies have to become highly adaptive in order to have the ability to establish relative supremacy over their rivals. The focus of existing papers has shifted towards the strategic problems in supply chain flexibility while focusing on non-mathematical models [3]. Conceptual models have been significantly constructed, while the need for integrated mathematical models, including flexibility dimensions, cannot be denied. In this respect, mathematical optimization models can considerably assist managers in deciding the supply chain flexibility [4]
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