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A Mixed Integer Linear Goal Programming Model for
Optimizing Multiple Constrained Resources Product-Mix
Problem Under the Theory of Constraints
--Matai Rajesh
Finding optimum product-mix for production systems is an important decision. Several researchers have developed algorithms to determine the product-mix under the Theory of Constraints (TOC). Literature reveals failure of the traditional TOC heuristic in determining product-mix when multiple constrained resources exist. In this paper, a Mixed Integer Linear Goal Programming (MILGP) model is proposed to deal with product-mix problem when multiple constrained resources exist. The proposed MILGP model emphasizes utilization of all bottlenecks as the primary goal and maximization of throughput as the secondary goal. The proposed model is experimented on problems cited in literature and the randomly generated ones, and the optimum results are reported by the proposed model. © 2014 IUP. All Rights Reserved.
Does Size Influence the Operational Efficiency
of the Major Ports of India? – A Study
--T Rajasekar and Malabika Deo
In this paper, an attempt has been made to measure the operational efficiency of major Indian ports during the period 1993-2011 by employing Data Envelopment Analysis (DEA) models. It was hypothesized that size is not a determinant factor of port efficiency. Based on the empirical results, the operational efficiency of both the bigger ports like JNPT, Mormugao and Kandla as well as of the smaller ports like, Ennore and Tuticorin was observed. Hence, the general notion that size contributes to the operational advantage gets negated as it is seen that efficiency does not depend on size. Further, about 44.13% of the ports were found exhibiting increasing returns to scale, which indicates that these ports need to increase their scale of operations via expansion or internal growth and by building alliances, while 11.73% of ports were found exhibiting decreasing returns to scale, indicating that these ports should decrease their scale of operations by giving up some of the terminal assets and operational functions to other specialized private entities in order to improve their overall efficiency. © 2014 IUP. All Rights Reserved.
Implementation of Total Productive Maintenance in Manufacturing
Industries: A Literature-Based Metadata Analysis
--Abhijeet K Digalwar and Padma V Nayagam
This paper aims to understand the usage of Total Productive Maintenance (TPM) tools and extent of its implementation in manufacturing industry. The paper reviews in detail the various cases of implementation of TPM through the existing literature. The tools utilized for the implementation of TPM are selected from literature. A detailed metadata analysis of the 42 cases of implementation of TPM using these tools is carried out in this study to analyze the frequency, pattern and importance of certain tools in a holistic way. Again, the companies are segregated on the basis of region/zone and type of industry. The frequency of various tools used and the extent of TPM implementation under the various scenarios as obtained from the metadata analysis, demonstrate the current trend of the tools usage and TPM implementation in the industries. The results provide an increased understanding of how to better the implementation of TPM in the manufacturing industry and provide managers with improved guidelines for identifying the most important tools that will lead to success. © 2014 IUP. All Rights Reserved.
Drivers Affecting the Green Supply Chain Management
Adaptation: A Review
--V K Jain and Shivani Sharma
Green Supply Chain Management (GSCM) is now considered as a main part of organizational strategies to become environment-friendly and socially responsible, and to fulfill the customer demand and meet government compliances. GSCM has received attention not only from organizations but also from academicians. The purpose of this paper is to review the literature on GSCM drivers/pressures and to find out the most effective drivers. The review of GSCM drivers gives us 14 drivers that have significant impact on implementation of GSCM practices in the organizations, and the results indicate that regulations, customer pressure and competition are the key drivers, while social responsibility, business benefits and organizational factors are of intermediate importance. © 2014 IUP. All Rights Reserved.
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