Cost-effectiveness analysis of the mobile phone manufacturing sector by using a novel fuzzy multi-objective programming model

This work presents a novel fuzzy multi-objective programming (fmop) model with a modified s-curve membership function capable of solving integrated multicomponent, multi-supplier, and multi-time-period production planning problems by using fuzzy objectives for the mobile phone manufacturing sector. the proposed model attempts to minimize total manufacturing, total inventory holding, and total penalty costs, simultaneously, in relation to manufacturer/supplier capacity and warehouse space. additionally, the proposed model provides a systematic means of facilitating the fuzzy decision-making process and enabling decision makers to interactively adjust the search direction during the solution procedure in order to obtain the preferred satisfactory solution of a decision maker (dm). moreover, adequacy of the proposed model is demonstrated based on an implementation design involving several scenarios of manufacturing production system for mobile phones. analytical results provide a valuable reference for decision managers attempting to more thoroughly understand the systematic analysis and potential of cost-effective production planning.