Mathematical Modeling of the Unit Load Formation

2013 ◽  
Vol 309 ◽  
pp. 358-365 ◽  
Author(s):  
Béla Illés ◽  
Gabriella Bognár

A fast and efficient way of handling and storing components, raw materials, semi-finished and finished products play a significant role in the development of transport, storage and distribution design within the supply chain. One of the most important issues in storage and transport processes is the formation of unit loads. Our main goal is to give a mathematical description of a model involving the major factors of the unit load formation. The optimization process is exhibited applying the determined objective functions and constraints related to the basic tasks.

2013 ◽  
Vol 581 ◽  
pp. 519-526 ◽  
Author(s):  
Béla Illés ◽  
Gabriella Bognár

One of the most important issues in storage and transport processes is the formation of unit loads. Our main goal is to investigate the homogeneous and multi-level unit load formation cases. We give a model involving the major factors and parameters of the unit load formations. The optimization process is introduced using the formulated objective functions and constraints related to the basic tasks. The aim of the optimization process is to maximize the volume of goods that can fit into the unit load formation equipment.


Author(s):  
N. Anbazhagan

Supply Chain Management (SCM) is the practice of coordinating the flow of goods, services, information and finances as they move from raw materials to parts supplier to manufacturer to wholesaler to retailer to consumer. Different supply chains have been designed for a variety of firms and this chapter discusses some issues in this regard. This chapter attempts to find why we require different supply chain for different companies. In this chapter we discuss the role of stochastic models in supply chain management system, and also discuss other mathematical models for SCM.


Aquaculture ◽  
2017 ◽  
Vol 467 ◽  
pp. 49-62 ◽  
Author(s):  
C. Jonathan Shepherd ◽  
Oscar Monroig ◽  
Douglas R. Tocher

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Miguel A. L. Nicolelis ◽  
Rafael L. G. Raimundo ◽  
Pedro S. Peixoto ◽  
Cecilia S. Andreazzi

AbstractAlthough international airports served as main entry points for SARS-CoV-2, the factors driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain mostly unknown. Here we show that three major factors influenced the early macro-geographical dynamics of COVID-19 in Brazil. Mathematical modeling revealed that the “super-spreading city” of São Paulo initially accounted for more than 85% of the case spread in the entire country. By adding only 16 other spreading cities, we accounted for 98–99% of the cases reported during the first 3 months of the pandemic in Brazil. Moreover, 26 federal highways accounted for about 30% of SARS-CoV-2’s case spread. As cases increased in the Brazilian interior, the distribution of COVID-19 deaths began to correlate with the allocation of the country’s intensive care units (ICUs), which is heavily weighted towards state capitals. Thus, severely ill patients living in the countryside had to be transported to state capitals to access ICU beds, creating a “boomerang effect” that contributed to skew the distribution of COVID-19 deaths. Therefore, if (i) a lockdown had been imposed earlier on in spreader-capitals, (ii) mandatory road traffic restrictions had been enforced, and (iii) a more equitable geographic distribution of ICU beds existed, the impact of COVID-19 in Brazil would be significantly lower.


Author(s):  
Yongtao Shen ◽  
Boonsub Panichakarn

Agriculture is widely treated as a base of national economy. The product provides the basic need for human, and its safety and stability are exposed to the constant attention of everyone. With the progress of human science and technology, more and more resources can be extracted from nature, and agricultural products nowadays are not be limited to food, but also be used as raw materials for fuel or other products. Meanwhile, trade between the two regions is often due to a comparative advantage in the production of a product, such as better technology, easier access to raw materials and the like (Dollar & Kraay, 2004). Therefore, agricultural product trade is a very important topic. This study believes that supply chains are an effective way to increase the value of agricultural product trade, for example effectively collaborating makes agricultural products available to end-consumers as quickly as possible. Supply chain management aims to satisfy consumer demands and improve the competitiveness (Dias & Ierapetritou, 2017) in various industries (Oelze et al., 2018). However, there is still blank between agricultural product trade and supply chain academically, figuring out what is agricultural product trade supply chain and what is related to this chain would be essential.


2018 ◽  
Vol 200 ◽  
pp. 00013 ◽  
Author(s):  
Nouçaiba Sbai ◽  
Abdelaziz Berrado

Inventory management remains a key challenge in supply chain management. Many companies recognize the benefits of a good inventory management system. An effective inventory management helps reaching a high customer service level while dealing with demand variability. In a complex supply chain network where inventories are found across the entire system as raw materials or finished products, the need for an integrated approach for managing inventory had become crucial. Modelling the system as a multi-echelon inventory system allows to consider all the factors related to inventory optimization. On the other hand, the high criticality of the pharmaceutical products makes the need for a sophisticated supply chain inventory management essential. The implementation of the multi-echelon inventory management in such supply chains helps keeping the stock of pharmaceutical products available at the different installations. This paper provides an insight into the multi-echelon inventory management problem, especially in the pharmaceutical supply chain. A classification of several multi-echelon inventory systems according to a set of criteria is provided. A synthesis of multiple multi-echelon pharmaceutical supply chain problems is elaborated.


2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Lorenzo Comba ◽  
Fabrizio Dabbene ◽  
Paolo Gay ◽  
Cristina Tortia

Even though the main EU regulations concerning food traceability have already entered to force since many years, we still remark very wide and impacting product recalls, which often involve simultaneously large territories and many countries. This is a clear sign that current traceability procedures and systems, when implemented with the only aim of respecting mandatory policies, are not effective, and that there are some aspects that are at present underestimated, and therefore should be attentively reconsidered. In particular, the sole adoption of the so-called “one step back-one step forward traceability” to comply the EC Regulation 178/2002, where every actor in the chain handles merely the data coming from his supplier and those sent to his client, is in fact not sufficient to control and to limit the impact of a recall action after a risk notification. Recent studies on lots dispersion and routing demonstrate that each stakeholder has to plan his activities (production, transformation or distribution) according to specific criteria that allow pre-emptively estimating and limiting the range action of a possible recall. Moreover, these new and very recently proposed techniques still present some limits; first of all the problem of traceability of bulk products (e.g. liquids, powders, grains, crystals) during production phases that involve mixing operations of several lots of different/same materials. In fact, current traceability practices are in most cases unable to deal efficiently with this kind of products, and, in order to compensate the lack of knowledge about lot composition, typically resort to the adoption of very large lots, based for instance on a considered production period. Aim of this paper is to present recent advances in the design of supply chain traceability systems, discussing problems that are still open and are nowadays subject of research.


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