scholarly journals The Vaccine Supply Chain: A Call for Resilience Analytics to Support COVID-19 Vaccine Production and Distribution

Author(s):  
Maureen S. Golan ◽  
Benjamin D. Trump ◽  
Jeffrey C. Cegan ◽  
Igor Linkov
Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2263
Author(s):  
Mahmood Ebadian ◽  
Shahab Sokhansanj ◽  
David Lee ◽  
Alyssa Klein ◽  
Lawrence Townley-Smith

In this study, an inter-continental agricultural pellet supply chain is modeled, and the production cost and price of agricultural pellets are estimated and compared against the recent cost and price of wood pellets in the global marketplace. The inter-continental supply chain is verified and validated using an integration of an interactive mapping application and a simulation platform. The integrated model is applied to a case study in which agricultural pellets are produced in six locations in Canada and shipped and discharged at the three major ports in Western Europe. The cost of agricultural pellets in the six locations is estimated to be in the range of EUR 92–95/tonne (CAD 138–142/tonne), which is comparable with the recent cost of wood pellets produced in small-scale pellet plants (EUR 99–109/tonne). The average agricultural pellet price shipped from the six plants to the three ports in Western Europe is estimated to be in a range of EUR 183–204 (CAD 274–305/tonne), 29–42% more expensive that the average recent price of wood pellets (EUR 143/tonne) at the same ports. There are several potential areas in the agricultural pellet supply chains that can reduce the pellet production and distribution costs in the mid and long terms, making them affordable supplement to the existing wood pellet markets. Potential economic activities generated by the production of pellets in farm communities can be significant. The generated annual revenue in the biomass logistics system in all six locations is estimated to be about CAD 21.80 million. In addition, the logistics equipment fleet needs 176 local operators with a potential annual income of CAD 2.18 million.


1970 ◽  
Vol 8 (1-2) ◽  
pp. 219-230
Author(s):  
Gyan Bahadur Thapa ◽  
Tanka Nath Dhamala ◽  
Shankar Raj Pant

The multi-level production problem is one of the challenging research areas in supply chain management. We present brief literature review and mathematical models of multi-level just-in-time sequencing problem with a view of cross-docking approach for supply chain logistics. Describing cross-docking operations, we propose a mathematical model for the cross-docking supply chain logistics problem to minimize the operation time as truck sequencing problem. We establish a proposition as the synthesis of the production and logistics.Key Words: Just-in-time; Supply chain; Logistics; Cross-dock; Operation timeDOI: http://dx.doi.org/10.3126/jie.v8i1-2.5114Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011Page: 219-230Uploaded Date: 20 July, 2011


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maedeh Bank ◽  
Mohammad Mahdavi Mazdeh ◽  
Mahdi Heydari ◽  
Ebrahim Teimoury

PurposeThe aim of this paper is to present a method for finding the optimum balance between sequence-dependent setup costs, holding costs, delivery costs and delay penalties in an integrated production–distribution system with lot sizing decisions.Design/methodology/approachTwo mixed integer linear programming models and an optimality property are proposed for the problem. Since the problem is NP-hard, a genetic algorithm reinforced with a heuristic is developed for solving the model in large-scale settings. The algorithm parameters are tuned using the Taguchi method.FindingsThe results obtained on randomly generated instances reveal a performance advantage for the proposed algorithm; it is shown that lot sizing can reduce the average cost of the supply chain up to 11.8%. Furthermore, the effects of different parameters and factors of the proposed model on supply chain costs are examined through a sensitivity analysis.Originality/valueAlthough integrated production and distribution scheduling in make-to-order industries has received a great deal of attention from researchers, most researchers in this area have treated each order as a job processed in an uninterrupted time interval, and no temporary holding costs are assumed. Even among the few studies where temporary holding costs are taken into consideration, none has examined the effect of splitting an order at the production stage (lot sizing) and the possibility of reducing costs through splitting. The present study is the first to take holding costs into consideration while incorporating lot sizing decisions in the operational production and distribution problem.


2021 ◽  
Vol 16 (4) ◽  
pp. 210-216
Author(s):  
Ermayana Megawati ◽  
Ari Heryanto ◽  
Aries Susanty ◽  
Novie Susanto

Supply chain is an organizational system in which there are roles and perform various activities, including information, funds and other resources that are interrelated in the movement of a product or service from supplier to customer. One typical supply chain management is internal supply chain management, where is one of the integrated activities that plays an important role in the operational performance of the company, but in Covid-19 pandemic era every country including PT. AST Indonesia has implemented the Covid-19 health protocols along with their government role, WHO’s role also International Safety standard such as OHSA. Internal supply chain is composed strategic purchasing, production and distribution exactly will have affected by this health protocols. Some researchers have published many factors that influence the performance of the company like quality, flexibility, innovation but also important to study the relevant thing with Covid-19 health protocols. In this paper, we proposed a conceptual model consist of Covid-19 health protocols, strategic purchasing, production, and distribution to sustain company operational performance. AHP method is use in this research to find the dominant influencing protocol factor that affecting in making of ISCM sustainability strategy.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maureen S. Golan ◽  
Benjamin D. Trump ◽  
Jeffrey C. Cegan ◽  
Igor Linkov

PurposeDespite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures in production and distribution can plague pandemic recovery. This review analyzes and addresses gaps in modeling supply chain resilience in general and specifically for vaccines in order to guide researchers and practitioners alike to improve critical function of vaccine supply chains in the face of inevitable disruptions.Design/methodology/approachSystematic review of the literature on modeling supply chain resilience from 2007 to 2020 is analyzed in tandem with the vaccine supply chain manufacturing literature. These trends are then used to apply a novel matrix analysis to seven Securities and Exchange Commission (SEC) annual filings of pharmaceutical corporations involved in COVID-19 vaccine manufacture and distribution.FindingsPharmaceutical corporations favor efficiency as they navigate regulatory, economic and other threats to their vaccine supply chains, neglecting resilience – absorption, adaptation and recovery from inevitable and unexpected disruptions. However, explicitly applying resilience analytics to the vaccine supply chain and further leveraging emerging network science tools found in the academic literature, such as artificial intelligence (AI), stress tests and digital twins, will help supply chain managers to better quantify efficiency/resilience tradeoffs across all associated networks/domains and support optimal system performance post disruption.Originality/valueThis is the first review addressing resilience analytics in vaccine supply chains and subsequent extension to operational management through novel matrix analyses of SEC Filings. The authors provide analyses and recommendations that facilitate resilience quantification capabilities for vaccine supply chain managers, regulatory agencies and corporate stakeholders and are especially relevant for pandemic response, including application to the SARS-CoV-2 vaccines.


Author(s):  
Dimitrios Terzidis ◽  
Fotios Misopoulos

This chapter’s concern is the impact of new technologies in the supply chain of the English Language Teaching (ELT) book market. The chapter’s research starts with a literature review that presents the modern technological solutions for an educational system that can alter the book market’s supply chain. The electronic teaching and reading facilities can reduce costs of production and distribution, but they can also become an ecologically friendly solution to the environmental problems that the world faces today. The statistical analysis of questionnaires has resulted in the Greek ELT market not being willing to change the existing supply chain operations of the ELT sector. Even though the market does not believe that the use of new technologies can result in the replacement of printed books, there is a trend of using them because they provide marketing benefits to their users. This trend can become the reason of a new era within the ELT book market’s supply chain operations.


Author(s):  
Mahsa Yousefi Sarmad ◽  
Mir Saman Pishvaee

Pharmaceutical industry is considered as a global industry because of its effects on the human life. Many researchers used optimization tools to manage the pharmaceutical supply chain (PSC) efficiently. A supply chain may be defined as an integrated process where several business entities work together to produce goods and/or services and deliver them to the end customer. The issue of PSC which includes strategic, tactical and operational decisions, is still a quite hot issue. The intended mission of this chapter is to introduce and discuss the recent developments of procurement, production and distribution management of pharmaceutical products in order to pave the way for the readers who are interested in this area of research. Notably, the focus of the chapter is on quantitative OR-based models which enable the decision makers to appropriately coordinate and manage the whole pharmaceutical industry.


2012 ◽  
Vol 1 (1) ◽  
pp. 38-54
Author(s):  
Babak Sohrabi ◽  
MohammadReza Sadeghi Moghadam

The present study, using genetic algorithm, tries to improve material flow management in supply chain. Consequently, in this paper, an integrated supply-production and distribution planning (SPDP) is considered despite the fact that in most of the Iranian industrial firms, SPDP is done independently. The effective use of integrated SPDP not only enhances the performance rather decreases inventory cost, holding cost, shortage cost and overall supply chain costs. A quantitative mathematical model is used to the problem articulation, and then it is solved by applying heuristic genetic algorithm (GA) method. The proposed model with genetic algorithm could provide the best satisfactory result with the minimum cost. The reliability test was carried by comparing the model results with that of the amount of variables.


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