Papers by Pravin Suryawanshi
Transportation Research Part E: Logistics and Transportation Review, 2022
Purpose-Since the 2010s, market conditions for container shipping companies have been deteriorati... more Purpose-Since the 2010s, market conditions for container shipping companies have been deteriorating owing to decreasing container cargo trade and increasing supply capacity. This study aims to contribute to the empirical literature on the container shipping industry market structure. Specifically, this study aims to investigate the extent of market competition. Design/methodology/approach-This study analyzes the market structure and evaluates the market power of shipping companies through a non-structural test. Findings-The H-statistic for the entire period of 2004-2018 was 0.37, which is significantly different from zero. This indicates the absence of monopoly pricing throughout the entire period. For the time-phased estimates, the H-statistic between 2004 and 2008 is 0.15, which is not significantly different from zero. On the other hand, the H-statistic from 2009 to 2018 was 0.40, which differs significantly from zero. Originality/value-As the Far East Freight Conference had released tariffs and charge rates by item for container shipping routes, monopolistic pricing is said to have appeared until the European Union abolished the European Economic Community (No. 4056/86) in 2008, before the economic crisis. However, this study indicates that pricing in the container shipping industry has been distinctly non-monopolistic; further, competition seems to have intensified since 2008. Industry competitiveness is of interest not only to academics but also to practitioners, including policymakers, especially when considering competition policies.
In the literature, most mathematical models for supply chains assume that transportation links wi... more In the literature, most mathematical models for supply chains assume that transportation links will not fail. However, in reality, transportation links are subject to various sorts of disruptions. Furthermore, in most supply chain models, there is little consideration given to the diminishing value of the product. In this paper, we have designed an integrated supply chain network for perishable products that takes into account random disruptions in transportation links. We also consider several capacitated manufacturing facilities and retail outlets and stochastic demands. This model considers both demand and process uncertainty (which is incorporated through random disruptions in the transportation link between the manufacturers and the retailers), simultaneously. The model also investigates the manufacturer’s facility locations and shipment decisions in the supply chain and minimizes the total cost of the entire supply chain. The paper discusses the model output through a numerica...
Most supply chain (SC) studies often consider conventional products and assign little importance ... more Most supply chain (SC) studies often consider conventional products and assign little importance to the product perishability. In addition, most SC models in the literature assume that transportation routes are disruption-free. However, in reality, transportation routes are subject to various sorts of disruptions. In this chapter, we develop a stochastic mathematical model for a perishable product under conditions of route disruption and demand uncertainty. We investigate optimal facility location and distribution strategies that minimise the total cost of the SC. We propose two policies for decision-making under uncertainty. The first one is the risk-neutral policy in which the expected cost of the SC is minimised. The second policy is the risk-averse policy. The risk-averse policy is proposed through conditional value-at-risk (CVaR) approach in which the worst-case cost is minimised. The effectiveness of our model is demonstrated through an illustrative example. We observe that a ...
Most facility location models in the literature assume that facilities will never fail. In additi... more Most facility location models in the literature assume that facilities will never fail. In addition, models that focus on distribution planning assume that transportation routes are disruption-free. However, in reality, both the transportation routes and the facilities are subject to various sorts of disruptions. Further, not many supply chain models in the literature study perishable products. In this paper, we address issues of facility location and distribution planning in a supply chain network for perishable products under uncertain environments. We consider demand uncertainty along with random disruptions in the transportation routes and in the facilities. We formulate a mixed-integer optimisation model. Our model considers several capacitated manufacturers and several retailers with multiple transportation routes. We investigate optimal facility location and distribution strategies that minimise the total cost of the supply chain. We demonstrate the effectiveness of our model...
Sustainable Production and Consumption, 2021
Abstract In an uncertain Supply Chain (SC) environment dealing with suppliers and transport-level... more Abstract In an uncertain Supply Chain (SC) environment dealing with suppliers and transport-level disruptions in addition to fulfilling customers’ requirements is a complex task. Such challenges are more taxing in case of perishable products SCs. The concurrent effect of all such events affects the economic stability of SC and impedes sustainability on a longer planning horizon. The proposed study presents a case example of e-commerce based SC addressing an operational and distribution planning problem. For this purpose, the study simulates online grocery business operations by proposing a mixed-integer linear programming problem to minimize SC's expected cost. It includes the costs of purchase, transportation, supply-demand mismatch, and cost of economic loss due to the perishable nature of the products. Computational analysis is performed to manifest the performance of the proposed model considering the dataset of a hyperlocal distribution service. The study evaluates the utility of resilience and sustainable strategies to minimize expected economic costs and reduce environmental impacts by effectively managing waste. A backup strategy is devised to promote a resilient SC planning to fight the risk of disruptions and operational failures. Additionally, economic sustainability is achieved by implementing various markdown policies and waste minimization strategies. A sensitivity analysis using Monte-Carlo simulation is presented to recognize the impact of operational risk, demand uncertainty, and perishability on the expected cost. Majorly, it contributes to the scant literature of quantitative modeling for the production and distribution of food SC to promote resiliently sustainable planning. Further, the resilient and sustainable strategies, procurement policies, penalty assessment, and markdown due to perishability are some of the key contributions of the study. The discussion provides plenty of opportunities to pursue future studies in operational and distribution management of e-commerce SCs.
IFAC-PapersOnLine, 2019
With advent of innovation in the information technology and computer applications, the ecommerce ... more With advent of innovation in the information technology and computer applications, the ecommerce industries are flourishing their ways out in the business market. However, managing such a complex network and fighting against the odds of risk and uncertainty, the e-commerce supply chains are more vulnerable than the traditional automobile and manufacturing supply chains. In this paper, we have performed statistical analysis of the data obtained from different supply chain experts on risks and various mitigation measures encountered in e-commerce supply chain. We performed two sample t-tests to find the impact of different risk on SC performance and also the influence of one risk over other. Same scores are used to compare Business to Business (B2B) or Business to Customer (B2C) platforms. Further, the study proposes more on utilizing technology enabled platform such as real-time tracking, GPS as well as insurances to minimize losses due to various disruptions. Moreover, the study has considered limited risks based on the primary research and leaves the scope to incorporate verities of other risks and mitigation standards.
Operational Research, 2017
Retailers often use discount pricing and promotional efforts to prop up declining demand of deter... more Retailers often use discount pricing and promotional efforts to prop up declining demand of deteriorating item nearing the end of their shelf life. In this context, we study the problem of discount pricing, promotion and ordering of noninstantaneous deteriorating single period product subject to promotional efforts and deterioration. In this paper, we first modify price-and time-dependent demand function (covering demand running through stages of market lifecycle) to include demand accrued from the promotional efforts and then develop inventory model to determine discount selling price and order size that maximizes total profit considering the deterioration. Later, the optimal selling period is determined using enumerative search method. The numerical examples presented to illustrate results show the benefits of exerting optimal level of promotional efforts; benefits of lengthening the non-deterioration period-larger profit with smaller order size; existence of optimal selling period; deleterious effect of deterioration-reduced profit even with enlarged order size. The model developed for non-instantaneous deteriorating item can be used for non-deteriorating as well as instantaneous deteriorating item.
International Journal of Productivity and Performance Management, 2021
PurposeThe emergence of risk in today's business environment is affecting every managerial de... more PurposeThe emergence of risk in today's business environment is affecting every managerial decision, majorly due to globalization, disruptions, poor infrastructure, forecasting errors and different uncertainties. The impact of such disruptive events is significantly high for perishable items due to their susceptibility toward economic loss. This paper aims to design and address an operational planning problem of a perishable food supply chain (SC).Design/methodology/approachThe proposed model considers the simultaneous effect of disruption, random demand and deterioration of food items on business objectives under constrained conditions. The study describes this situation using a mixed-integer nonlinear program with a piecewise approximation algorithm. The proposed algorithm is easy to implement and competitive to handle stationary as well as nonstationary random variables in place of scenario techniques. The mathematical model includes a real-life case study from a kiwi fruit d...
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Papers by Pravin Suryawanshi