anupam haldar

Abstract The aim of this research is to develop a quantitative approach for supplier selection under a disaster environment. Because conflicting criteria co-exist in the industrial scenario it is difficult to satisfy all selection criteria simultaneously when designing supplier selection. The present work incorporates an analytical framework for supply chain design, which may help the decision makers to select a suitable supplier under a disruption scenario. In the four tier process, presented here, the supplier’s weights are initially determined using the TOPSIS and AHP methodology for general selection criteria. A cut-off value for the supplier weight is assigned and the suppliers which are above this cut-off value are selected for the primary selection process. Using AHP-QFD methodology the manufacturer’s critical criteria and resiliency criteria are integrated into the selection process, to determine the subjective factor measures (SFM) for each of the primary selected suppliers. Different cost factors are unified using a normalizing technique to determine the objective factor measure (OFM) for each of the suppliers. Finally, a supplier selection index is calculated in which the decision maker’s attitude plays an important role.

Now-a-days employee recruitment is one of the most important assets of any companies. The aim of study is developing a fuzzy decision support system (FDSS) to select appropriate employee in technical field by taking some qualitative judgments of decision makers into consideration. Proposed approach is based on Fuzzy Analytic Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. FAHP method is used in determining the weights of the criteria by decision makers and then rankings of the technical employee are determined by TOPSIS method.

The aim of this research is to develop a quantitative approach for supplier selection under a disaster environment. Because conflicting criteria co-exist in the industrial scenario it is difficult to satisfy all selection criteria simultaneously when designing supplier selection. The present work incorporates an analytical framework for supply chain design, which may help the decision makers to select a suitable supplier under a disruption scenario. In the four tier process, presented here, the supplier’s weights are initially determined using the TOPSIS and AHP methodology for general selection criteria. A cut-off value for the supplier weight is assigned and the suppliers which are above this cut-off value are selected for the primary selection process. Using AHP-QFD methodology the manufacturer’s critical criteria and resiliency criteria are integrated into the selection process, to determine the subjective factor measures (SFM) for each of the primary selected suppliers. Different c...

The aim of this research is to develop a quantitative approach for strategic supplier selection under a fuzzy environment in a disaster scenario. Disruption is a low probability high intensity event which causes long term system turbulence/unbalance. So resiliency planning is becoming a crucial strategic issue in the supplier selection process to keep pace with serving a globally competitive scenario. While crisp data are inadequate to model real life situations in fuzzy multiple criteria decision making, decision makers used linguistic variables to describe the importance of degrees of specific attributes. Triangular and trapezoidal linguistic data are used in determining supplier scores for various sub-criteria under general and resilient strategies, respectively. This paper presents an integrated fuzzy group decision making approach based on a fuzzy technique for order preference by similarity to the ideal solution integrated with the aggregate fuzzy weight method to rank the suppliers of a manufacturing system. Suppliers' weights for a general strategy and a resilient strategy are combined in sensitivity analysis, where decision makers' attitude plays an important role. Using this approach, organizations can devise resiliency plans to alleviate the vulnerability of a supply chain system. Although the methodology is illustrated through an application in automobile manufacturing, it can also be used in other discrete and process manufacturing industries.

Purpose In recent years, determining the effective and suitable supplier in the supply chain management (SCM) has become a key strategic consideration to the success of any manufacturing organization in terms of business intelligence (BI), as many quantitative and qualitative critical factors are measured from big data. In today’s competitive business scenario, the main purpose of this study is to determine suitable and sustainable suppliers during supplier selection process is to reduce the risk of investment along with maximize overall value to the customer and develop closeness and long-term relationships between customers and suppliers to build a resilient SCM to mitigate uncertainty for automotive organizations. Design/methodology/approach As these types of decisions generally involve more than a few criteria and often necessary to compromise among possibly conflicting factors, the multiple-criteria decision-making becomes a useful approach to solve this kind of problem. Consid...

The aim of this research is to develop a quantitative approach for supplier selection under a disaster environment. Because conflicting criteria co-exist in the industrial scenario it is difficult to satisfy all selection criteria simultaneously when designing supplier selection. The present work incorporates an analytical framework for supply chain design, which may help the decision makers to select a suitable supplier under a disruption scenario. In the four tier process, presented here, the supplier’s weights are initially determined using the TOPSIS and AHP methodology for general selection criteria. A cut-off value for the supplier weight is assigned and the suppliers which are above this cut-off value are selected for the primary selection process.
Using AHP-QFD methodology the manufacturer’s critical criteria and resiliency criteria are integrated into the selection process, to determine the subjective factor measures (SFM) for each of the primary selected suppliers. Different cost factors are unified using a normalizing technique to determine the objective factor measure (OFM) for each of the suppliers. Finally, a supplier selection index is calculated in which the decision maker’s attitude plays an important role.