Aggregate Production Planning and Marginal Concepts for Optimal Decisions Using Fuzzy Goal Programming
- Author M. Laisin
- Co-Author U. O. Chineh, O. C. Okoli
- DOI https://ww
- Country : Nigeria
- Subject : Mathematics
Keywords : Aggregate production planning, fuzzy demands, goal programing, Decision maker, linear membership function.
Abstract
Aggregate Production Planning (APP) is a type of medium-term planning that centers on the most cost-effective way to manage production to meet changing demand and other uncertainties. In this study, the suggested technique makes reference implementation to labor levels, machine, inventory levels, overtime, warehouse capacity and backordering levels in an effort to minimize overall expenses, maximize customer satisfaction, and maximize revenue. Thus, filling the following lacuna; to pro-pose a new multi-product multi-period multi-objective APP problem through mathematical modeling; produce a FGP method to solve the multi-period, multi-product, and multi-objective APP problem; apply the proposed method in a real case study; propose a dictionary for information gathering. However, the study results were obtained using Lingo version 18 software with data gathered from Rich Pharmaceuticals Limited (RPL) based in Lagos, Nigeria. The proposed model produces a useful compromise result and general levels of DM gratification with the various fuzzy goal values. A decision maker can interactively alter the fuzzy data and associated model parameters until a satisfying answer is attained thanks to the suggested model's systematic structure for easing the decision-making process.
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