A Fuzzy Multi-objective Model with MFCA Approach for Selecting Products Variety in a Textile Supply Chain

Abstract

Offering product variety is one of the strategies for today's competitive advantage. In spite of the fact that greater product variety allows manufacturers to meet a larger share of customer's satisfaction, it increases the complexity of the process and reduces efficiency of the operational performance in a supply chain. Increasing product variety also creates more wastes and more losses, and reduces efficiency of resources. In this chapter, a fuzzy multi-objective model is developed in an imprecise environment by using Material Flow Cost Accounting (MFCA) approach which concentrates on reducing resource consumption by reducing waste and losses as well as active response to environmental requirements. The cost objective function consists of waste management cost, system cost, material cost, and energy cost. The model considers different weights for each of the cost items. Due to uncertain seasonal market demand for textile productions, an imprecise production preparation time and vagueness of input data, a fuzzy weighted maxmin multi-objective model is developed for this problem. In this model, the achieved level of objective functions will match the relative importance of objective functions. The model considers three objective functions: quality, product variety, and cost of negative products which focus on the appropriate variety of the products and help decision makers increase green productivity in a textile supply chain. A numerical example is developed to show the application of the model.

Potentials for Improvement of Resource Efficiency in Printed Circuit Board Manufacturing: A Case Study Based on Material Flow Cost Accounting

“…Increasing productivity has been defined as the core strategy of green productivity, cleaner production, sustainable engineering, lean production, and the like [3][4][5][6]. The Sustainable Development Goals (SDGs) also require responsible and sustainable production patterns for doing more with less resources such that a business can help improve the potential of resource and cost savings by identifying hotspots of environmental and economic impacts within the value chain [7].…”

Applying Material Flow Cost Accounting and Two-Dimensional, Irregularly Shaped Cutting Stock Problems in the Lingerie Manufacturing Industry

“…However, there are few studies using the MFCA technique for the garment industry. The relevant studies are the research of Kasemset and Chernsupornchai [24], who applied MFCA in SMEs which showed the effective result in cost-saving; and the research of Amid et al [25], who developed a fuzzy weighted max-min multi-objective model to reduce waste and response to environmental requirements. For this reason, there is a possibility in the garment industry to investigate and improve the manufacturing process to enhance the performance, along with mitigating environmental impact by implementing MFCA with management tools, which will be presented in the next chapter.…”