scholarly journals Case Study on Inventory Management Improvement

2015 ◽  
Vol 18 (1) ◽  
Author(s):  
Darya Plinere ◽  
Arkady Borisov
Keyword(s):  
Inventory Management ◽  
Management Improvement

A systematic literature review of healthcare supply chain and implications of future research

2019 ◽  
Vol 13 (4) ◽  
pp. 405-435 ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Inventory Management ◽  
Cold Chain ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
Drug Manufacturing ◽  
Customer Training

Purpose This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it. Design/methodology/approach In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication. Findings Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction. Research limitations/implications Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study. Practical implications This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC. Originality/value The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

Inventory management of multiple items with irregular demand: A case study

2010 ◽  
Vol 205 (2) ◽  
pp. 313-324 ◽  
Author(s):  
George Nenes ◽  
Sofia Panagiotidou ◽  
George Tagaras
Keyword(s):  
Inventory Management

scholarly journals Sustainable Improvements for Customized Platform Effectiveness in Garment Production

2019 ◽  
Vol 19 (4) ◽  
pp. 355-362
Author(s):  
Yong Ji ◽  
Gaoming Jiang ◽  
Honglian Cong
Keyword(s):  
Inventory Management ◽  
Case Study Research ◽  
High Energy ◽  
Garment Industry ◽  
Development Theory ◽  
Fashion Design ◽  
Virtual Design ◽  
Design Production ◽  
Design And Production

Abstract This study uses sustainable development theory to analyze China’s garment industry, which has been under pressure of high energy consumption, excess capacity and environmental pollution. The purpose of this work is to explore customized platform effectiveness on fashion design and production by the integration of clothing ceo-design (CED) and clothing life cycle evaluation. By cooperation and data analyses, garment companies come into being, which provides information for the study on customized platform effectiveness. Meanwhile, this paper begins with addressing the potential problems for fashion design, production and inventory management, making a distinction between garment virtual design (GVD)and personalized garment customization (PGC) and suggesting a useful computer-aided approach for fashion design and production process. The data and information were gathered from garment companies in China. This work presents the findings from case study research into sustainable improvements for fashion design and production in the garment industry; in this way, the level of customized platform may be compared and analyzed, which is a significant growth point of sustainable improvements for this research and practice domain.

Decision Support Tools for Managing Unpredictability in the Supply Chain

2000 ◽  
Author(s):  
Carol Vesier
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Inventory Management ◽  
Production Scheduling ◽  
Capital Investment ◽  
Investment Strategy ◽  
Decision Support Tools ◽  
Business Outcomes ◽  
Support Tools

Abstract Effectively managing unpredictability requires decision support tools that can predict the financial and business outcomes of various supply chain strategies. This paper will discuss the role of these decision support tools and their characteristics as well as review a case study. In the case study, decision support tools facilitated development of strategies that increased after tax profit by $140 Million. These strategies included: • Reliability improvement strategy: Identifying the reliability improvements that offered the biggest profitability impact. • Supply chain strategy: Defining inventory management and production scheduling rules that ensured order shipment within two days. • Capital investment strategy: Defining when new capacity should come on line as well as the minimum capital investment.

Inventory Management, a Decision Support Framework to Improve Operational Performance

2012 ◽  
pp. 581-600
Author(s):  
Jan van den Berg ◽  
Guido van Heck ◽  
Mohsen Davarynejad ◽  
Ron van Duin
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Inventory Management ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Performance Improvements ◽  
Decision Support Framework ◽  
Comparable Performance ◽  
Potential Benefits

Enterprise Resource Planning systems have been introduced to support the efficient and effective execution of business processes. In practice, this may not fully succeed. This also holds in particular for inventory management (IM), which forms a part of supply chain management. Within this research, by analyzing the IM business process theoretically, eleven potential benefits are indicated. Next, by using a Business Intelligence approach, key performance indicators (KPIs) are selected to measure the performance of IM sub-processes. Integration of these approaches yields an IM performance decision support framework that can be used to obtain a generic, coherent picture of the fundamental IM processes in an organization. In addition, by tracking and analyzing KPI measurements, adequate decisions can be prepared towards the improvement of the operational IM performance. The proposed framework is validated using experts’ opinions and a comparative case study. The experts’ comments yielded a list of top-10 KPIs, based on the measurements of which a set of quick wins can be determined. The case study results show that some of the identified potential benefits are also observed in practice. Future research may reveal that comparable performance improvements are possible in other IM environments (and even in other supply chain domains) based on similar decision support frameworks.

An (s, S) Inventory Optimization Problem

2019 ◽  
pp. 187-206
Author(s):  
Gizem Sağol ◽  
Görkem Sariyer ◽  
Banu Yetkin Ekren ◽  
Mustafa Gökalp Ataman
Keyword(s):  
Inventory Management ◽  
Optimization Problem ◽  
Service Level ◽  
Inventory Model ◽  
Considerable Effort ◽  
Medical Products ◽  
High Service ◽  
Inventory Optimization ◽  
Medical Supplies

Inventory management is one essential lever to use the resources efficiently. However, managing inventories in hospitals is a challenging task because of the several issues: a high service level of medical supplies is required under the unpredictable demand, medical products constitute a significant portion of the overall costs, and the management of these supplies requires considerable effort to check the levels to track usage and to distribute them. Therefore, it is pertinence to apply operations research tools to cope with the managerial issues of the hospital inventory system. In this chapter, the authors implement an (s, S) inventory model by using simulation in a case study of a hospital in Izmir, Turkey. They aim to analyze the unpredictable nature of demand of medical supplies in this hospital and its implications on the developed inventory policy.

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