Journal of Management Science & Engineering Research

Prediction of Production Capability for Subcontractors in Automotive Rubber Part Supply Chain Using Neuro-Fuzzy System

Suthep Butdee — 2023-11-03

The paper proposes prediction production capability for automotive rubber part supply chain subcontractors in order to remain competitive in the global market. Rubber parts are used widely in automotive, motorcycles, trucks and other types of vehicles which are mostly small sizes but huge quantities to support original equipment manufacturer (OEM) brands with specific parts. The rubber part manufacturing process is complex and uncertain with compression molding and rubber curing conditions. Therefore, good conditions can predict to obtain high production capability for customer commissioning and delivery on schedule. The Neuro-fuzzy system is adopted and developed to deal with the uncertain capability under multi-criteria decision making. The methodology development can be used in the actual situation of the rubber part manufacturing supply chain environment and can predict uncertain problems that might occur in the subcontractor factories. The prediction of the production capability of the rubber part supply chain might be more effective on the real-time monitoring control system and can be tracked location part progressive for further planning both successful or has to be rescheduled. The platform was applied to audit and test in the actual industrial supply chain in Thailand. The methodology development was originally created for the particular supply chain in rubber automotive parts that can replace the existing manual approach to obtain a more efficient process of monthly performance evaluation.

Back Bay Battery Simulation Reflective Essay

Tianyang Deng — 2024-01-09

The success of an organization’s innovation strategy relies on a clearly defined innovation theme. In this article, the author will delve into the concept of disruptive innovation and explore how to achieve Horizon 2 ideas. Horizon 2 ideas involve extending the business’s current model and core competencies to reach new customers, markets, and even new business objectives in different segments. The business model extension under Horizon 2 focuses on the organization’s mid-term goals, typically taking 24 to 36 months to yield results. Drawing insights from the Harvard Business Review’s Back Bay Battery (BBB) simulation, this article presents the implementation of an innovation strategy within the BBB company. The aim is to assist the company in enhancing its business model and transitioning into the high-end market. The latter part of the article will shed light on the challenges associated with implementing this strategy in a real-world firm and the results it can deliver to the organization. Specifically, it will explore the effectiveness of the strategy in achieving disruptive innovation within the employee market, where the company intends to use the new business model to tap into new markets.

Ishikawa Diagram, Gray Numbers and Pareto Principle for the Analysis of the Causes of WEEE Production in Cameroon: Case of SMEs Implementing ISO 14001:2015

Gilson Tekendo Djoukoue — 2024-01-23

The issue of Waste from Electrical and Electronic Equipment (WEEE) in Africa lacks a concrete answer at present. This study aimed to provide an integrated approach using qualitative and quantitative research methods based on the 80/20 principle and the grey system theory, in order to address the uncertainty in the existing literature. First, through a qualitative approach, the authors analysed the environment for the management of WEEE by eight companies in Cameroon, through a literature review and observations made in the field under the framework of the ISO 14001:2015 standard. Then, the weights of the selected cause of the WEEE using grey system theory were proposed and applied, combining the findings from both the qualitative and quantitative methods. Based on the data obtained through the analysis, the research results indicate that the assessed Cameroonian companies dealing with WEEE management can implement measures to reduce WEEE.