Research and Opportunities in Supply Chain Modeling A Review

Int. J Sup. Chain. Mgt Vol. 1, No. 3, December 2012

63 Research and Opportunities in Supply Chain

Modeling: A Review

Chandrakumar M. Badole1 (corresponding author), Dr. Rakesh Jain2 ,

Dr. A.P.S.Rathore3, Dr. Bimal Nepal4

1,2,3Mechanical Engineering Department, Malaviya National Institute of Technology, Jaipur, 302017, India.

1badolechandrakumar@bb2ca189767f5acfa0c7cd07

2rjain.mnit@bb2ca189767f5acfa0c7cd07

3apsr100@yahoo.co.in

4Industrial Distribution, Dwight Look College of Engineering, Texas A & M University, College Station, TX 77843

4nepal@bb2ca189767f5acfa0c7cd07

Abstract--- Supply chain management (SCM) has a long history of incorporating elements of engineering, technology, and management. Extensive research is ongoing in all aspects of SCM. An important research objective is the development and verification of mathematical models. Case studies are used to test the validity of new models. During the past decade, SCM literature has greatly expanded. Considering this vast array of literature, a comprehensive review is appropriate. This paper presents an in-depth review of supply chain (SC) modeling literature. The approach will help researchers, academicians and practitioners alike to take a closer look at the growth, development and applicability of issues related to SC modeling. From the wide selection of 690 papers published in the various aspects of SC modeling during the past decade, 282 papers were selected for this review. Lastly, ten key areas have been identified for future research.

KEY WORDS:Literature Review, Supply Chain Modeling, Review Framework, Future Research

1. INTRODUCTION

Intense global competition is forcing organizations to offer low-cost, high-quality, reliable products. To compete, products must be delivered on time and with greater design flexibility. Industries strive to satisfy wise customer needs while maintaining acceptable levels of profitability. Intelligently applied, SCM is sufficiently mature to enhance the survival of industries in this era of global competition. According to the council of logistic management, SCM is the process of planning, implementing and controlling the efficient, cost-effective flow and storage of raw materials, in-process inventory, finished goods and related information from point-of-origin to the point-of-consumption for the purpose of conforming to customer requirements [1]. SCM objectives are to enhance the operational efficiency, responsiveness, and profitability of firms and their supply chain partners. These objectives can be realized by designing, developing, and implementing SCM situational (need-oriented) models. Models must change to accommodate changing scenarios. Review of the prior modeling literature analyzed in this paper revealed a wide range of models. Consequently, no single model captures all aspects of the wide range of SC processes.

Although there are many publications in the SCM domain, only a few authors have attempted to provide a comprehensive review of the SCM modeling literature. Interestingly, most of the review papers have considered only a single aspect, such as simulation, case studies, surveys, or performance measurements. The researchers, Croom et al. [2], Tan Keah [3], Min and Zhou [4], Sergio and Sergio [5], Sachan and Datta [6], Gunasekaran and Kobu [7], Vaart and van Donk [8], and Rajurkar and Jain [9] have authored the review papers in this area. The paper presented by Min and Zhou is particularly informative about SCM modeling. The authors developed taxonomy for classifying the modeling literature. However, their work is restricted to categorizing SCM modeling according to a single-dimension model type, such as deterministic, stochastic, or hybrid. Consequently, there is a need to develop a more extensive review paper that emphasizes the full spectrum of SCM and to classify the literature in additional detail. To that end, this paper presents a comprehensive review and categorization of the modeling literature that encompasses the complete spectrum of SCM. It provides both academicians and practitioners with an in-depth review of current SC issues, existing models, and a clear direction for future research.

In addition to reviewing SCM literature, the other contributions of this paper lie in organizing the current SC modeling work by: i) arranging publications in an orderly manner to facilitate searching, ii) classifying the literature with respect to topical coverage, iii) examining the outcome of publications, and iv) identifying gaps and providing insight for further research.

The remainder of this paper is organized as follows: Section 2 describes the methodology and approach to reviews. Section 3 presents a literature classification framework, along with brief descriptions of each individual’s prior work. Section 4 includes critical views and way forward for future research. Finally, section 5 summarizes the paper with concluding remarks.

2.METHODOLOGY AND SCHEME

OF REVIEW

_________________________________________________________________________ International Journal of Supply Chain Management IJSCM, ISSN: 2050-7399 (Online), 2051-3771 (Print) Copyright ? ExcelingTech Pub, UK (bb2ca189767f5acfa0c7cd07/)

Int. J Sup. Chain. Mgt Vol. 1, No. 3, December 2012

64

The volume of SCM literature is growing rapidly. For this review, SCM papers from leading international journals were collected from multiple databases like Science Directory, Google Scholar, ABI/INFORMS, and IEEE Explore among others. From the more than 700 papers dated between 2001 and 2010, 302 papers were selected because of their relevance to modeling. A paper’s potential relevance to our study was determined by careful examination of its abstract, introduction, and conclusions. Only those papers that reflected modeling on any aspect, activity, o …… 此处隐藏：44676字，全部文档内容请下载后查看。喜欢就下载吧 ……