scholarly journals A Data Aggregation Methodology to Assess the Global Production Capacity of Complex Supply Chains

Author(s):  
Frederic Pereyrol ◽  
Jean-Christophe Deschamps ◽  
Julien François ◽  
Pascale Farthouat ◽  
Remy Dupas
2017 ◽  
pp. 4-11
Author(s):  
Alberto De la Calle ◽  
María Elena Grus ◽  
Esther Álvarez de los Mozos

The global context in which companies operate nowadays is extremely complex. This fact pushes organizations to a continuous search of the best strategy that will enable them to stand out in the market. Supply Chain Management, in its dual concept of coordinated demand and supply chains, represents an excellent opportunity to enhance the competitive advantage of companies. In relation to the demand chain, it can help to improve the knowledge of the customers and their needs, to develop their capacities for innovation and response, as well as to differentiate their products. With respect to the supply chain, it will focus the attention on increasing the flexibility in production capacity and delivery of products and services with less use of resources. For this reason, this study proposes to analyze the relationship between value creation and business results in some Spanish companies through supply chain processes. In order to do so, it describes a transactional non-experimental research employing the Technological Innovation Panel Database (PITEC).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Towfique Rahman ◽  
Md. Abdul Moktadir ◽  
Sanjoy Kumar Paul

Purpose Supply chains’ (SCs’) sustainability practices and recovery strategies are attaining popularity in academia and industries to improve the resilience of the SCs and to manage large-scale disruptions. The global pandemic caused by the COVID-19 has raised the question of the sustainability of essential health-care products’ SCs of Bangladesh. It is an essential avenue for making the life of people safe and secure. Despite its importance, most of the health-care SCs in Bangladesh are struggling to meet the demand of its nation due to capacity shortage, technological backwardness of the manufacturers, delivery capacity shortages and less advanced forecasting capabilities. Therefore, this study aims to investigate the key performance indicators (KPIs) of a sustainable recovery strategy in the context of health-care SCs considering the COVID-19 pandemic. Design/methodology/approach This study used a dynamic method named graph theory and matrix approach to evaluate the most critical KPIs of a sustainable recovery strategy in the context of Bangladeshi health-care SCs. Findings The result revealed that dynamic forecasting and planning with a smooth delivery and distribution support system, production capacity diversification and having alternative or multiple suppliers during extraordinary disruptions may aid in the sustainability of the health-care SCs in Bangladesh. Originality/value This study is unique as no previous study has identified and examined the sustainable recovery strategy perspective KPIs considering the COVID-19 pandemic in the context of Bangladeshi health-care SCs. This study will also add value by guiding decision-makers of the health-care SCs of Bangladesh to adopt strategies toward the sustainability of SCs.


2008 ◽  
Vol 32 (11) ◽  
pp. 2570-2581 ◽  
Author(s):  
June Young Jung ◽  
Gary Blau ◽  
Joseph F. Pekny ◽  
Gintaras V. Reklaitis ◽  
David Eversdyk

Author(s):  
Zahra Azadehranjbar ◽  
Ali Bozorgi-Amiri ◽  
Arash Zandi

This paper addresses the problem of redesigning a three-echelon supply chain network under uncertainty. Since one of the most realistic problems that supply chains are dealt with is routing of vehicles, routing constraints with a split delivery condition are considered in our proposed model. Also, the possibility of outsourcing is considered in order to satisfy demands that exceed the production capacity. Furthermore, in order to deal with the presence of uncertainty in the problem, a light robust approach is developed. The performance of the proposed model is illustrated using a simulation procedure. Sensitivity analysis on the proposed model is also presented in the paper. The results show that the proposed method has a better performance than Light Robust approach and can be used as a useful managerial tool in redesign problems.


2020 ◽  
Vol 67 (2) ◽  
pp. 126-146 ◽  
Author(s):  
Juzhi Zhang ◽  
Tsan‐Ming Choi ◽  
T. C. E. Cheng

2020 ◽  
Vol 12 (7) ◽  
pp. 2934
Author(s):  
Magdalena Raftowicz ◽  
Magdalena Kalisiak-Mędelska ◽  
Mirosław Struś

The growing demand for cheap food is a key factor in maintaining long supply chains. Increasing the distance between the producer and the consumer results not only in certain problems in maintaining profitability by small, local producers, but also in a threat to food safety. One way to counteract these adverse effects is to sell food through short supply chains. They shape the market in the direction of maintaining care for the sustainable development of all food production, but above all, maintaining and strengthening the production capacity ensuring the transparency of the high-quality food production process from an identifiable source of origin. The purpose of this article is to indicate the conditions on the side of both carp producers and consumers, conducive to building short supply chains, and determine whether they can be an effective alternative sales model in Polish conditions. The article focuses on the possibilities of developing short supply chains on the carp market in the Barycz Valley, concentrating the largest area of carp ponds in Europe. The research (surveys) included the five largest fishing farms and, on the recipient side, individual consumers and restaurants located in the Barycz Valley and Wrocław, and agritourism facilities in the researched area. The obtained results confirmed that short supply chains in the area of Polish aquaculture are characterized by high implementation potential. However, it is necessary to modify the current sales model so that the producers’ expectations regarding the sales volume and the obtained price are balanced with the expectations of consumers articulating the will to buy fish at a given time, place, and price. This, in turn, will ensure the high economic efficiency of fishing farms, and consumers will have access to a high-quality product.


2012 ◽  
Vol 235 ◽  
pp. 356-361
Author(s):  
Jian Hua Wang ◽  
Qiang Mei ◽  
Xian Feng Huang ◽  
Jian Qiang Luo

Agile supply chain must possess the ability of utilizing alliance corporations’ production capacity fully in a systematic view, in order to meet the market demands and its changes quickly and economically. Powerful scheduling techniques are the key support for supply chains’ agility. Based on the discontinuous schedulable periods of suppliers, an agile supply chain static scheduling under schedulable periods (ASCSSSP) of multiple optional suppliers for each part is studied. According to the final product’s supplying BOM, this paper sets up a structural framework model for agile supply chains firstly, then analyzes and builds a mathematic model for the task assignment and schedule optimization of ASCSSSP with the supply-demand time and quantity constraints, and especially designs a novel heuristic algorithm of Task Adjusted by Cost (TAC) to solve the model. Finally, by some numerical experiments, the efficiency and practicability of the model and algorithm is verified by contrasting analysis.


2017 ◽  
Vol 44 (4) ◽  
pp. 25-34 ◽  
Author(s):  
Mariusz Izdebski ◽  
Ilona Jacyna-Gołda ◽  
Katarzyna Markowska ◽  
Jakub Murawski

The paper discusses main decision problems analysed in the subject matter of servicing actors operating in the supply chains, i.e. the vehicle routing problem, vehicles-to-task assignment problem and the problem of entities’ localization in the supply chain. The input data used to describe supply chains is given as well as the basic constraints and the criterion functions used in the development of mathematical models describing the supply chains. Servicing actors in supply chains is the complex decision making problem. Operators in the supply chains are constrained by: production capacity of the suppliers, the demand of the customers in particular working days, storage capacities of warehouses, handling capacities of warehouses, suppliers’ and warehouses’ time windows and other. The efficiency of supply chain is described by cost of transport between operators, costs of passing cargoes through warehouses and delivery time to the recipient. The heuristic algorithms, like genetic and ant algorithms are detailed and used to identify issues related to the operation of actors operating in the supply chains are described. These algorithms are used for solving localization problems in supply chains, vehicle routing problems, and assignment problems. The complexity of presented issues (TSP is known as NP-hard problem) limits the use of precise algorithms and implies the need to use heuristic algorithms. It should be noted that solutions generated by these algorithms for complex decision instances are sub-optimal solutions, but nonetheless it is accepted from the practical point of view.


Author(s):  
Osman Seraceddin Sesliokuyucu

The COVID-19 pandemic-related economic lockdowns and restrictions have caused socio-economic uncertainties in the world since 2020. The pandemic-induced economic shocks affected world trade, especially the reactions in fragile markets. As a result of the strict rules taken by the countries, the decrease in the supply of intermediate goods inputs used in industries worldwide, supply shock has caused global supply chains and economic problems to spread through supply chains. Due to the increase in demand exceeding the current supply and production capacity, the fragmented production system, which spread throughout the world, led to the risks related to global value chains (GVC). In this context, discussion of the uplift processes within the chain, which expresses the upgrading perspective, has come to the fore again. The solutions in chains, which are applied by industries in the pandemic process, emphasize the importance of backward and forward linkages in the chain.


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