Articles written in Sadhana
Volume 43 Issue 10 October 2018 Article ID 0167
Traditional Indian agri-fresh food supply chain (AFSC) is unorganized and controlled by a large number of intermediaries, causing it to be unsustainable from the farmer (low profitability) to the customer (not getting quality product even after paying a high price). The purpose of this paper is to propose novel strategiesfor designing a sustainable Indian AFSC. Authors identify shortcomings as well as strengths, weaknesses, opportunities and threats (SWOT) of the Indian agriculture system through the literature survey. To improve overall performance of this chain, authors have developed eighty strategies by incorporating SWOT into TOWS(threat, opportunity, weakness and strength) matrix. They define four key objectives to mitigate the afore-mentioned problems. In this paper, twelve strategies are shortlisted from existing ones on the basis of fulfilling amaximum number of objectives. The shortlisting of strategies is further verified by evaluating strategies using performance measures (PMs) in sustainability dimensions, which revealed that the twelve chosen strategies dominate over other strategies. The shortlisted strategies are mainly focused on improving the economic dimension of AFSC by satisfying maximum number of objectives and PMs. The chosen strategies pledge for the optimum and most feasible ones to be recommended for managers/researchers towards redesigning the AFSC.The proposed viable strategies are expected to reform the conventional Indian AFSC by designing sustainable supply chain (SSC). The outcomes of this work will provide clear guidelines for researchers and policy makers to make sustainable agriculture.
Volume 46 All articles Published: 6 May 2021 Article ID 0100
This paper investigates an integrated supplier selection, vehicle routing, and transportation problem with sustainability factors (like economical and environmental) for (B2B) e-commerce logistics network design, which supplies the multi-product order from the supplier node to the retailer node. In this, we have formulated a mixed-integer nonlinear programming (MINLP) model to minimize the total transportation cost, penalty cost due to late pickup and late delivery, and fuel consumption cost with the best possible supplier selection and find the route for delivery of an order batch. Two solution approaches, i.e., exact optimization using LINGO solver and meta-heuristics, i.e. Invasive Weed Optimization (IWO) and Simulated Annealing (SA) used to solve the proposed model. We have tested the model on 10 scenario (i.e. Small to large size problems) and computation experiments reveal that Simulated Annealing performs better than Invasive Weed Optimization. The study is expected to benefit E-commerce company and helps the manager in perspective of logistic service and supplier selection.