Abstract

Nowadays, many industries are focusing on automation in manufacturing for high production and good quality to meet the needs of customers in a short period of time. This trend has produced a forward shift in technology in the form of advancement, which ultimately increases energy demand. For that reason, researchers have started working on sustainable development associated with cleaner-energy policies to avoid increasing energy consumption for enhanced manufacturing technology in developed countries. The other important issue affecting our world is global warming, which is the result of greenhouse gas emissions. That is the reason, renewable energies like solar energy have dramatically increased during recent years to compensate for the energy demand and reduced carbon footprint for cleaner production. This paper considers a supply chain management of automobile part manufacturing industry with suppliers to optimize the production quantity with multiple objectives i.e., minimizing the total cost of production including minimum quantity lubrication is a first objective, reduction of the carbon footprint is the second, and minimizing the cost of energy considering renewable energy is the last objective. This study considers a situation, where imperfect quality items are managed and controlled by the suppliers as outsourcing operations. A weighted goal programming methodology is utilized to solve the proposed mathematical model including sustainable suppliers. Sensitivity analysis of the model is performed for different scenarios with respect to the energy utilization. The optimal result of minimum production cost and carbon emissions is the evidence of successful pragmatic application in automobile industry. The results validate the model to provide the basis for sustainability in supply chain environment considering manufacturer and suppliers.

Highlights

  • The basic aim of manufacturing firms is to minimize the total cost of production

  • This study proposed a multiobjective model to simultaneously minimize total production cost, carbon emissions, and cost of energy for manufacturing processes in order to develop a production policy for manufacturers and suppliers in a supply chain

  • It was observed that the addition of renewable energy as a cleaner environmental technology produced a positive impact on the environment by reducing carbon emission in a manufacturing system

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Summary

Introduction

The basic aim of manufacturing firms is to minimize the total cost of production. Likewise, many researchers optimized manufacturing models by considering sustainable free products and minimizing the total cost of production [1,2,3,4,5,6]. The positive aspect of the analysis is the increasing share of renewable by 1.3% annually, which is more than the average but less than the natural gas This share contributes more due to sustainable development by designing products and processes in manufacturing sector, which are eco-friendly and are accompanied by social support reduce carbon emissions [10]. Industries are working on strategies for reduction of energy consumption and carbon footprint for the clean and green environment These policies in the form of investments increase the overall costs of products. The analysis is providing a platform to adopt a renewable energy as a source in the automobile part industry for sustainable manufacturing These tangible environmental advantages will help the policy makers to understand the positive impact of renewable energy to face the global warming challenge in production and supply chain management.

Literature Review and Research Gap
Mathematical Model
Assumptions
Formulation of the Mathematical Model
Constraints
Demand
Production Quantity
Supplier Capacity
Numerical Example
Numerical Results
Sensitivity Analysis
Result
Conclusions
Full Text
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