Material Flow Optimisation for Multistage, Multiproduct Parallel Lines

EasyChair Preprint 9483

Abstract

In the production planning phase, long-term decision problems are addressed. In this phase, the demand of the products is fulfilled by considering the production capacity, available time and available manpower. The demand of the products is determined by Monte-Carlo simulation method. The objective function is considered to minimise material flow time. A case study based on soap finishing line which is related to multistage, multiproduct parallel line is selected. The mathematical model is formulated as mixed integer nonlinear programming. The CPLEX optimisation solver is used to find the optimum solution.

Keyphrases: Soap finishing line, mixed-integer nonlinear programming, production planning

@booklet{EasyChair:9483,
  author    = {Kailash Bhosale},
  title     = {Material Flow Optimisation for Multistage, Multiproduct Parallel Lines},
  howpublished = {EasyChair Preprint 9483},
  year      = {EasyChair, 2022}}