Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review

Kumar, Ramesh; Ganapathy, L.; Gokhale, Ravindra; Tiwari, Manoj Kumar

doi:10.1080/00207543.2020.1762019

Cited by 54 publications

(20 citation statements)

References 108 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Earlier, Stewart and Ivanov (2019) proposed a framework for analysing risk and disruption by studying a dynamic system in the humanitarian supply chain that considers saving lives and relieve suffering by delivering food, shelter, medicine, fuel, and other supplies to beneficiaries. Kumar et al (2020) described several simulation techniques that address uncertainty in the complex nature of the problem. Therefore, Any Logistix software has been utilised to simulate the proposed model for capturing supply chain disruptions (Timperio et al 2019;Kinra et al 2019).…”

Section: Simulation Model Of Public Distribution System During a Pandmentioning

confidence: 99%

Impact of COVID-19 on logistics systems and disruptions in food supply chain

Singh

Kumar

Panchal

et al. 2020

International Journal of Production Research

Self Cite

673

472

View full text Add to dashboard Cite

An outbreak of deadly COVID-19 virus has not only taken the lives of people but also severely crippled the economy. Due to strict lockdown, the manufacturing and logistics activities have been suspended, and it has affected the demand and supply of various products as a result of restrictions imposed on shopkeepers and retailers. Impacts of COVID-19 are observed ubiquitously in every type of units from different sectors. In this study, a simulation model of the public distribution system (PDS) network is developed with three different scenarios to demonstrate disruptions in the food supply chain. Difficulties have been increased in matching supply and demand in a vast network of PDS because of changing scenarios with the growth of infected cases and recovery. This paper also highlights the importance of a resilient supply chain during a pandemic. Our proposed simulation model can help in developing a resilient and responsive food supply chain to match the varying demand, and then further assist in providing decision-making support for rerouting the vehicles as per travel restrictions in areas. Paper has been summarised with significant highlights and including future research scope for developing a more robust food supply chain network.

show abstract

Section: Simulation Model Of Public Distribution System During a Pandmentioning

confidence: 99%

Impact of COVID-19 on logistics systems and disruptions in food supply chain

Singh

Kumar

Panchal

et al. 2020

International Journal of Production Research

Self Cite

673

472

View full text Add to dashboard Cite

show abstract

“…As a result, many approaches reduce the size of the network or limit the scope to a single decision level or a single echelon of the supply chain. A recent review of research on integrated production and distribution planning examined 72 papers published between 2010 and 2019 and found no papers integrating decisions made at all three levels (Kumar et al, 2020).…”

Section: Scnd Integrating Multiple Decision Levelsmentioning

confidence: 99%

A Simulation-based Optimization Approach to Logistic and Supply Chain Network Design

Jones¹,

Mazzuchi²,

Sarkani³

2021

Defense ARJ

View full text Add to dashboard Cite

The Department of Defense (DoD) operates a world-wide supply chain, which in 2017 contained nearly 5 million items collectively valued at over $90 billion. Since at least 1990, designing and operating this supply chain, and adapting it to ever-changing military requirements, are highly complex and tightly coupled problems, which the highest levels of DoD recognize as weaknesses. Military supply chains face a wide range of challenges. Decisions made at the operational and tactical levels of logistics can alter the effectiveness of decisions made at the strategic level. Decisions must be made with incomplete information. As a result, practical solutions must simultaneously incorporate decisions made at all levels as well as take into account the uncertainty faced by the logistician. The design of modern military supply chains, particularly for large networks where many values are not known precisely, is recognized as too complex for many techniques found in the academic literature. Much of the literature in supply chain network design makes simplifying assumptions, such as constant per-unit transportation costs regardless of the size of the shipment, the shipping mode selected, the time available for the delivery, or the route taken. This article avoids these assumptions to provide an approach the practitioner can use when designing and adapting supply chain networks. This research proposes a simulation-based optimization approach to find a near-optimal solution to a large supply chain network design problem of the scale faced by a theater commander, while recognizing the complexity and uncertainty that the practicing military logistician must deal with.

show abstract

“…Therefore, the consideration of product-dependent multi-temperature characteristics and dynamic routing mechanism is important to enrich the research of perishable food e-commerce logistics. To deal with a number of factors in the optimisation model, multi-objective optimisation is considered to obtain the best solution, striking the balance between numerous factors, which can be solved to obtain the pareto-solution set (Guo et al 2017;Chan et al 2020;Kumar et al 2020). Apart from formulating an optimal delivery route before leaving the depot, dynamic and real-time updating of the delivery route, thus accounting for undesired incidents, is essential (Ritzinger, Puchinger, and Hartl 2016).…”

Section: Literature Reviewmentioning

confidence: 99%