A Co-Ordinated Single-Vendor Multi-Buyer Supply Chain Model

Author(s):  
Chi Kin Chan ◽  
Brian G. Kingsman

his chapter considers the co-ordination in a single-vendor multi-buyer supply chain by synchronising ordering and production cycles. The synchronisation is achieved by scheduling the actual ordering days of the buyers and co-ordinating it with the vendor’s production cycle whilst allowing the buyers to choose their own lot sizes and order cycle. A mathematical model for our proposed co-ordination is developed and analysed. Our results show that the synchronised cycles policy works better than independent optimisation or restricting buyers to adopt a common order cycle. Some illustrative examples demonstrate that there are circumstances where both the vendor and the buyers gain from such synchronisation without the need for price and quantity discount incentives.

Author(s):  
Kristina Rangsha Marak ◽  
Richa Nandra ◽  
Bikash Koli Dey ◽  
ARUNAVA MAJUMDER ◽  
Ramandeep Kaur

Recent supply chain faces numerous issues while addressing factors related to online markets, such as fast and secured deliveries to the customers. Even most of the Ecommerce businesses have their own logistics and warehousing network, the real time challenges may occur with respect to routing, inventory and fast delivery to the customer in this internet era. This work addresses the issue in supply chain for E-commerce by developing a suitable mathematical model and applying with real time working conditions which tends to give a suitable solution for the problem.


2021 ◽  
Vol 11 (2/3) ◽  
pp. 315
Author(s):  
Richa Nandra ◽  
Kristina Rangsha Marak ◽  
Ramandeep Kaur ◽  
Bikash Koli Dey ◽  
Arunava Majumder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xingyu Li ◽  
Amin Ghadami ◽  
John M. Drake ◽  
Pejman Rohani ◽  
Bogdan I. Epureanu

AbstractThe pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the spread of SARS-CoV-2, by restricting travel and in-person activities, failure to deploy time-sensitive strategies in ramping-up of critical resource production exacerbated the outbreak. Here, we developed a mathematical model to analyze the effects of the interaction between supply chain disruption and infectious disease dynamics using coupled production and disease networks built on global data. Analysis of the supply chain model suggests that time-sensitive containment strategies could be created to balance objectives in pandemic control and economic losses, leading to a spatiotemporal separation of infection peaks that alleviates the societal impact of the disease. A lean resource allocation strategy can reduce the impact of supply chain shortages from 11.91 to 1.11% in North America. Our model highlights the importance of cross-sectoral coordination and region-wise collaboration to optimally contain a pandemic and provides a framework that could advance the containment and model-based decision making for future pandemics.


2021 ◽  
pp. 1-15
Author(s):  
Sudip Adak ◽  
G.S. Mahapatra

This paper develops a fuzzy two-layer supply chain for manufacturer and retailer with defective and non-defective types of products. The manufacturer produces up to a specific time, including faulty and non-defective items, and after the screening, the non-defective item sends to the retailer. The retailer’s strategy is to do the screening of items received from the manufacturer; subsequently, the perfect quality items are used to fulfill the customer’s demand, and the defective items are reworked. The retailer considers that customer demand is time and reliability dependent. The supply chain considers probabilistic deterioration for the manufacturer and retailers along with the strategies such as production rate, unit production cost, cost of idle time of manufacturer, screening, rework, etc. The optimum average profit of the integrated model is evaluated for both the cases crisp and fuzzy environments. Managerial insights and the effect of changes in the parameters’ values on the optimal inventory policy under fuzziness are presented.


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