Journal of Management Science & Engineering Research最新文献_第3页

Study on Customer Demand Forecasting Models, Stock Management, Classification and Policies for Automobile Parts Manufacturing Company N.A.C.C. (An Advance on Classical Models) 汽车零部件制造公司N.A.C.C.客户需求预测模型、库存管理、分类及策略研究(经典模型的进展)

Journal of Management Science & Engineering Research Pub Date : 2022-04-24 DOI: 10.30564/jmser.v5i1.4436

S. Cisse, Jianwu Xue, S. A. Agyemang

{"title":"Study on Customer Demand Forecasting Models, Stock Management, Classification and Policies for Automobile Parts Manufacturing Company N.A.C.C. (An Advance on Classical Models)","authors":"S. Cisse, Jianwu Xue, S. A. Agyemang","doi":"10.30564/jmser.v5i1.4436","DOIUrl":"https://doi.org/10.30564/jmser.v5i1.4436","url":null,"abstract":"The primary intent of the current research is to provide insights regarding the management of spare parts within the supply chain, in conjunction with offering some methods for enhancing forecasting and inventory management. In particular, to use classical forecasting methods, the use of weak and unstable demand is not recommended. Furthermore, statistical performance measures are not involved in this particular context. Furthermore, it is expected that maintenance contracts will be aligned with different levels. In addition to the examination of some literature reviews, some tools will guide us through this process. The article proposes new performance analysis methods that will help integrate inventory management and statistical performance while considering decision maker priorities through the use of different methodologies and parts age segmentation. The study will also identify critical level policies by comparing different types of spenders according to the inventory management model, also with separate and common inventory policies. Each process of the study is combined with a comparative analysis of different forecasting methods and inventory management models based on N.A.C.C. parts supply chain data, allowing us to identify a set of methodologies and parameter recommendations based on parts segmentation and supply chain prioritization.","PeriodicalId":227013,"journal":{"name":"Journal of Management Science & Engineering Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129771377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

What are Different Research Approaches? Comprehensive Review of Qualitative, Quantitative, and Mixed Method Research, Their Applications, Types, and Limitations 什么是不同的研究方法?定性、定量和混合方法研究及其应用、类型和局限性的综合综述

Journal of Management Science & Engineering Research Pub Date : 2022-04-22 DOI: 10.30564/jmser.v5i1.4538

Hamed Taherdoost

引用次数: 16

Application of Management Accounting in Company Sustainability 管理会计在公司可持续发展中的应用

Journal of Management Science & Engineering Research Pub Date : 2022-03-31 DOI: 10.30564/jmser.v5i1.4444

Weirui Sun

引用次数: 0

Optimization by Hybrid/Combined Artificial Intelligent Models 混合/组合人工智能模型优化

Journal of Management Science & Engineering Research Pub Date : 2022-03-09 DOI: 10.30564/jmser.v5i1.4485

Wei‐Chiang Hong

引用次数: 1

Companies and Sustainable Development: The Adequacy of Environmental Impact Assessment for the Management of Environmental Risks 公司与可持续发展:环境风险管理中环境影响评价的充分性

Journal of Management Science & Engineering Research Pub Date : 2022-02-25 DOI: 10.30564/jmser.v5i1.4349

E. R. Messias, André L. R. Cateli, Daniel B. Teixeira

{"title":"Companies and Sustainable Development: The Adequacy of Environmental Impact Assessment for the Management of Environmental Risks","authors":"E. R. Messias, André L. R. Cateli, Daniel B. Teixeira","doi":"10.30564/jmser.v5i1.4349","DOIUrl":"https://doi.org/10.30564/jmser.v5i1.4349","url":null,"abstract":"The choice of the environmental risk management instrument to be used within the scope of corporate governance in companies is of paramount importance to avoid or mitigate the triple environmental responsibility to which they are exposed. In this sense, the following research problem arises: The Environmental Impact Assessment (EIA), an instrument of the National Environment Policy and a model of environmental risk management adopted by some companies, proves to be efficient, effective and effective for the fulfillment of the duty to protect the environmental balance and, therefore, for sustainable development? The present study aims to elucidate this research problem. To this end, analyzes were carried out on risk and environmental damage, from a perspective of the socioenvironmental function of companies today; the need for a new posture by companies in view of the reflexes of environmental risks in business activity; and the question of the adequacy or inadequacy of the EIA as an instrument of the National Environment Policy and as a model for managing environmental risks and damages, in the pursuit of sustainable development. The method of approach used was the deductive one, and the research was carried out using the method of bibliographic procedure, through which research was carried out on books, scientific articles and legislation. The result points out the inefficiency and ineffectiveness of the EIA for the management of environmental risks and, thus, for the fulfillment of the duty to protect the environmental balance by companies.","PeriodicalId":227013,"journal":{"name":"Journal of Management Science & Engineering Research","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132653315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Journal of Management Science &amp; Engineering Research最新文献

Journal of Management Science & Engineering Research最新文献