VMI-type Supply Chains: a Brief Review

The primary purpose of this paper is to highlight for the research community and practitioners the various aspects of using VMI-type supply chains in today’s business environment as well as a number of directions for future studies. In this regard, fifty articles published in major international journals, beginning in 1995, which contribute to the VMI-type supply chains are reviewed via a systematic review methodology. Our findings show there is an incremental growth in employing of VMI strategies in logistic and supply chains. This paper characterizes the design aspects required to configure and establish a VMI-type supply chain in the industry including demand pattern, number of products, contract type between two parties, and profit sharing scheme. Moreover, the current gaps on the current state of VMI-type supply chain in literature are highlighted in last section of this paper that may motivate future studies

Leadership that facilitates the successful implementation of Lean Six Sigma

Researchers have identified leadership as a critical success factor for Lean Six Sigma implementation. It is essential to understand leadership behaviours that facilitate the use of Lean Six Sigma. This paper aims to identify leadership styles from the literature that can facilitate Lean Six Sigma implementation, which in turn broaden the current understanding of the suitable leadership styles. Also, the authors aim to explore how leadership styles can enhance Lean Six Sigma operations. The authors systematically reviewed the literature on leadership styles and Lean Six Sigma. The results determined the leadership styles that can enable the use of Lean Six Sigma successfully. These leadership styles are as follows: situational (task-oriented or relation-oriented behaviour), transformational, servant, authentic, empowering, and distributed leadership. The authors provide a better understanding for practitioners and researchers from existing literature on how leaders' behaviours can enhance Lean Six Sigma implementation. It is not clear which style is the most dominant and effective. There is a lack in interpreting how these leadership styles linked to Lean Six Sigma implementation. There is a lack of empirical evidence most of the studies depended on a theoretical base. Very few studies have focused on leadership styles and Six Sigma success; to the best of the authors' knowledge only one paper has studied this. Also, there is scarcity in papers that addressed leadership styles that facilitate Lean Six Sigma implementation. This paper initiates a call to study Lean Six Sigma rather than focus only on either Lean or Six Sigma. This proposition guides future research based on the view that Lean management can share underlying assumptions with Lean Six Sigma characteristics. However, the mean limitation of this review is the use of specific keywords and database to identify studies

Multi-Criteria Risk-Benefit Analysis of Health Care Management

Abstract Purpose of this paper: The objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach to evaluate the most suitable RFID-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. Design/methodology/approach: Researcher explains the importance of selection criteria for evaluation of RFID-based system. It provides key elements on radio frequency identification, fuzzy hierarchical TOPSIS methodology and an algorithm that can be followed to solve the problem. A sample problem using the algorithm is solved and results are explained. Findings: The hierarchical TOPSIS model used in this article is able to grasp the ambiguity exists in the utilized information and the fuzziness appears in the human judgments and preferences. The use of the hierarchical fuzzy TOPSIS methodology offers a number of benefits: (1) it is a systematic model and straight forward to work on (2) capable to capture the human's appraisal of ambiguity when management should deal with a complex multiple objective situations. The hierarchical fuzzy TOPSIS is in some way superior to the other Fuzzy multi criterion decision making techniques, such as fuzzy analytic hierarchy process (FAHP) and classical fuzzy TOPSIS methods. This is because while in the hierarchical structure no pair-wise comparisons among criteria, sub-criteria, and alternatives are necessary to be made, it is already being taken into consideration by the model. Hierarchical fuzzy. Practical implications (if applicable): What is original/value of paper: Due to the fact that a better management of health care system is related to the full understanding of the technologies implemented and the system under consideration, sufficient background on the radio frequency identification technology is provided and the RFID systems most likely management would face with and select one are provided for decisions to be made on them. Key Words: RFID Technology, RFID-based system selection, healthcare applications, hierarchical fuzzy TOPSIS

Multiple Criteria Decision Making Combined with VRP: A Categorized Bibliographic Study

In this research author reviews references related to the topic of multi criterion (goal programming, multiple objective linear and nonlinear programming, bi-criterion programming, Multi Attribute Decision Making, Compromise Programming, Surrogate Worth Trade-off Method) and various versions of vehicle routing problem (VRP), Multi depot VRP (MDVRP), VRP with time windows (VRPWTW), Stochastic VRP (SVRP), Capacitated VRP (CVRP), Fuzzy VRP (FVRP), Location VRP (LVRP), Backhauling VRP(BHVRP), Facility Location VRP (FLVRP), and Inventory control VRP (ICVRP). Although, VRP is a research area with rich research works and powerful researchers there found only 81 articles that relates various vehicle routing type problems with various multiple objectives techniques. This author found that there is no research done in some areas of VRP (i.e., FVRP, ICVRP, LRP and CVRP). It is interesting to see that this research area was completely an unattractive to master students (with zero research reported) and a somewhat attractive area to doctoral students (with 6 researches reported). Among the many multi criterion programming techniques available only three of them (goal programming, bi-criterion programming, linear and nonlinear multi objective programming) are being employed to solve the problem