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Modern day customers wish to receive product and services as per their choice of channel, reach and convenience. For meeting such needs, supply chain managers have always looked for newer approaches and philosophy. One of such philosophy is emergence of Omnichannel for providing seamless shopping experience to its customers. To implement omnichannel strategies in real practices need structuring and reconfiguring the practices of traditional supply chain network (SCN). Also due to easy and rich availability of information on dot com, customers tend to shift to the channel where prices are low. Thus demand fulfillment is affected by uncertainty in demand. For this, in this work a mathematical MILP model of multiple-channel distribution SCN (MCDSCN) has been proposed in which customers will be able access to product and services as per their choice of channels. So, the objectives of this model is not only minimizing total supply chain cost but also maximizing service level under uncertain environment. For showing the applicability of proposed model a numerical is illustrated which compares proposed model with traditional SCN. Significant saving is being achieved in proposed model over traditional SCN which justifies its applicability. [ABSTRACT FROM AUTHOR]

In the present modern technological driven production scenario, most of the suppliers are having basic capabilities and possess necessary competencies to qualify the selection process. Hence for decision makers, selection of right suppliers based on elementary criteria is a challenging task. Therefore there is a need of identification of some criteria (Attractive Criteria) that will help not only decision makers in selection of suppliers but also will increase the satisfaction level. In this work Fuzzy Kano model has been applied for selection criteria classification and identification of Attractive criteria. Fuzzification of Kano model has been done for capturing the vagueness of decision makers. Further Step-wise Weight Assessment Ratio Analysis (SWARA) Multi Criteria Decision Making (MCDM) method has been used to assign influential weights to attractive criteria. Finally, Complex Proportional Assessment of Alternatives (COPRAS) MCDM technique has been applied for supplier's assessment through Attractive criteria. For the illustration the efficacy of proposed work, a case study of Indian Iron and Steel plant of central India has been considered in which seven suppliers are selected for evaluation. It is observed that supplier 4 has highest utility values. [ABSTRACT FROM AUTHOR]