Coordination and Supply Chain Optimization of Agricultural Products in Bangladesh under Uncertainty

2020 ◽  
Keyword(s):  
Supply Chain ◽  
Agricultural Products ◽  
Supply Chain Optimization

Supply chain optimization of large-scale continuous processes

2005 ◽  
Vol 29 (6) ◽  
pp. 1305-1316 ◽  
Author(s):  
E.P. Schulz ◽  
M.S. Diaz ◽  
J.A. Bandoni
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Supply Chain Optimization ◽  
Continuous Processes

scholarly journals The Implementation of CSA Model in Aquaculture Management in Poland

2021 ◽  
Vol 13 (3) ◽  
pp. 1242
Author(s):  
Magdalena Raftowicz ◽  
Magdalena Kalisiak-Mędelska ◽  
Mirosław Struś
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Profit Maximization ◽  
Source Material ◽  
Agricultural Products ◽  
Alternative Form ◽  
Community Supported Agriculture ◽  
Direct Sales ◽  
Key Stakeholders ◽  
Aquaculture Management

Community Supported Agriculture (CSA) is an alternative form of distributing agricultural products, including fish, consistent with the model of food supply chain shortening. It extends beyond the traditional model of profit maximization and aims at strengthening local interactions with food consumers. The purpose of this article is to assess the feasibility of implementing the CSA model in the Polish carp market, representing the dominant aquaculture product. The research focused on the potential identified on the supply and demand sides of the carp market. The source material was collected through a pilot two-track empirical study conducted in 2019 in the Barycz Valley, where the largest complex of carp breeding ponds is located in Poland, and in Europe. We propose that the following CSA model of direct sales can become a source of specific benefits in the economic, social, and environmental dimensions for the key stakeholders of the supply chain, (i.e., carp producers and consumers). The research results show that in the case of carp production in Poland, CSA may turn out a desirable support for the sale of fish in the future; however, the existing conditions are not yet fully favourable for its development.

Quality safety of agricultural products in supply chain-computer simulation based on multi-agent system

2021 ◽  
pp. 1-8
Author(s):  
Wei Zhou ◽  
Maha Saad Metawea
Keyword(s):  
Computer Simulation ◽  
Supply Chain ◽  
Agricultural Products ◽  
Computer Simulation Model ◽  
Quality And Safety ◽  
Multi Agent System ◽  
Agent System ◽  
Supply Chain System ◽  
Multi Agent ◽  
Countermeasures And Suggestions

As is known that, one of the challenges in ensuring the quality and safety of agricultural products in China is how to organize plenty of scattered small farmers and integrate them into the modern agricultural products supply chain system. In this paper, in order to promote the tight integration of agricultural products supply chain, based on multi-agent system, a computer simulation model of agricultural products supply chain is proposed. Through a series of simulation experiments, the evolution of the organizational structure of the agricultural products supply chain, its impact on the quality and safety of agricultural products under different government regulations are explored and discussed in detail. It follows from these simulation results that the more long-term-contract farmers and sellers, the more conducive to the improvement of the quality and safety of agricultural products, and the corresponding countermeasures and suggestions are also provided.

scholarly journals Environmental potential of carbon dioxide utilization in the polyurethane supply chain

2015 ◽  
Vol 183 ◽  
pp. 291-307 ◽  
Author(s):  
Niklas von der Assen ◽  
André Sternberg ◽  
Arne Kätelhön ◽  
André Bardow
Keyword(s):  
Carbon Dioxide ◽  
Supply Chain ◽  
Environmental Impacts ◽  
Environmental Benefits ◽  
Supply Chain Optimization ◽  
Environmental Evaluation ◽  
Impact Reduction ◽  
Carbon Dioxide Utilization ◽  
Systematic Exploration ◽  
The Impact

Potential environmental benefits have been identified for the utilization of carbon dioxide (CO2) as a feedstock for polyurethanes (PUR). CO2 can be utilized in the PUR supply chain in a wide variety of ways ranging from direct CO2 utilization for polyols as a PUR precursor, to indirect CO2 utilization for basic chemicals in the PUR supply chain. In this paper, we present a systematic exploration and environmental evaluation of all direct and indirect CO2 utilization options for flexible and rigid PUR foams. The analysis is based on an LCA-based PUR supply chain optimization model using linear programming to identify PUR production with minimal environmental impacts. The direct utilization of CO2 for polyols allows for large specific impact reductions of up to 4 kg CO2-eq. and 2 kg oil-eq. per kg CO2 utilized, but the amounts of CO2 that can be utilized are limited to 0.30 kg CO2 per kg PUR. The amount of CO2 utilized can be increased to up to 1.7 kg CO2 per kg PUR by indirect CO2 utilization in the PUR supply chain. Indirect CO2 utilization requires hydrogen (H2). The environmental impacts of H2 production strongly affect the impact of indirect CO2 utilization in PUR. To achieve optimal environmental performance under the current fossil-based H2 generation, PUR production can only utilize much less CO2 than theoretically possible. Thus, utilizing as much CO2 in the PUR supply chain as possible is not always environmentally optimal. Clean H2 production is required to exploit the full CO2 utilization potential for environmental impact reduction in PUR production.

scholarly journals Optimization of Consignment-Store-Based Supply Chain with Black Hole Algorithm

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Ágota Bányai ◽  
Tamás Bányai ◽  
Béla Illés
Keyword(s):  
Black Hole ◽  
Supply Chain ◽  
Optimization Problems ◽  
Optimization Method ◽  
Chain Model ◽  
Supply Chain Optimization ◽  
Proposed Model ◽  
Supply Chain Model ◽  
Supply Model ◽  
Black Hole Algorithm

The globalization of economy and market led to increased networking in the field of manufacturing and services. These manufacturing and service processes including supply chain became more and more complex. The supply chain includes in many cases consignment stores. The design and operation of these complex supply chain processes can be described as NP-hard optimization problems. These problems can be solved using sophisticated models and methods based on metaheuristic algorithms. This research proposes an integrated supply model based on consignment stores. After a careful literature review, this paper introduces a mathematical model to formulate the problem of consignment-store-based supply chain optimization. The integrated model includes facility location and assignment problems to be solved. Next, an enhanced black hole algorithm dealing with multiobjective supply chain model is presented. The sensitivity analysis of the heuristic black hole optimization method is also described to check the efficiency of new operators to increase the convergence of the algorithm. Numerical results with different datasets demonstrate how the proposed model supports the efficiency, flexibility, and reliability of the consignment-store-based supply chain.

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