Indian Institute of Management Calcutta

About: Indian Institute of Management Calcutta is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Supply chain & Emerging markets. The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.

Optimal pricing and core acquisition strategy for a hybrid manufacturing/remanufacturing system

Abstract: Remanufacturing is one of the product recovery options where the quality of used products (cores) is upgraded to ‘as-good-as-new’ conditions. In this article, we consider a monopolist firm selling new and remanufactured products to quality-conscious primary customers and price-sensitive secondary customers, respectively, with one-way substitution, i.e. some primary customers may substitute new products by remanufactured products while secondary customers can never afford to buy new products. We develop economic models under two scenarios – when the supply of cores is unconstrained and when manufacturers have to procure cores at an acquisition price. The major observations of the article are as follows. A firm is better off when there is no constraint on the supply of cores. Even when cores have to be acquired at an acquisition price, the profitability is higher than that when the firm does not engage in remanufacturing activities. When a larger number of primary customers replace new products with remanuf...

A novel droplet routing algorithm for digital microfluidic biochips

Abstract: One of the recent areas of research interest is the use of microfluidics for building up biochips, the digital microfluidic biochips (DMFB). This paper deals with a challenging problem related to the design of DMFB. Specifically the design problem considered is related to high performance droplet routing, where each droplet has single source location and single target location. The objectives are (i) minimizing the number of electrodes used in the DMFB, and (ii) minimizing the total routing time of all the droplets or arrival time of a droplet that is the last to arrive at its target(latest arrival time). We propose a simple algorithm for concurrent path allocation to multiple droplets, based on the Soukup's routing algorithm [22], together with the use of stalling, and possible detouring of droplets in cases of contentions. Selection of the droplets is based on their respective source to target Manhattan paths. The empirical results are quite encouraging.

Market development at the bottom of the pyramid: examining the role of information and communication technologies

Abstract: This paper addresses the research question, “How can the use of information and communication technology ICT enable development of markets at the bottom of the pyramid BOP?” Integrating ideas centered on the threefold role of ICT automate–informate–transform, market mechanisms, and agency freedom aspects of ICT-enabled development, we examine how 1 ICT facilitate development of market mechanisms at the BOP, 2 market mechanisms enable economic and social benefit outcomes for BOP markets and members, and 3 complementary conditions facilitate or hinder ICT-enabled market development. The findings are based on qualitative primary data from interviews with 27 BOP individuals from India, and from published and secondary examples. Theoretical contributions and implications for practice and further research are discussed.

Artificial intelligence for decision support systems in the field of operations research: review and future scope of research

Abstract: Operations research (OR) has been at the core of decision making since World War II, and today, business interactions on different platforms have changed business dynamics, introducing a high degree of uncertainty. To have a sustainable vision of their business, firms need to have a suitable decision-making process at each stage, including minute details. Our study reviews and investigates the existing research in the field of decision support systems (DSSs) and how artificial intelligence (AI) capabilities have been integrated into OR. The findings of our review show how AI has contributed to decision making in the operations research field. This review presents synergies, differences, and overlaps in AI, DSSs, and OR. Furthermore, a clarification of the literature based on the approaches adopted to develop the DSS is presented along with the underlying theories. The classification has been primarily divided into two categories, i.e. theory building and application-based approaches, along with taxonomies based on the AI, DSS, and OR areas. In this review, past studies were calibrated according to prognostic capability, exploitation of large data sets, number of factors considered, development of learning capability, and validation in the decision-making framework. This paper presents gaps and future research opportunities concerning prediction and learning, decision making and optimization in view of intelligent decision making in today’s era of uncertainty. The theoretical and managerial implications are set forth in the discussion section justifying the research questions.