scholarly journals Development of the grain crops supply chain model

2022 ◽  
Vol 14 (2) ◽  
pp. 33-37
Author(s):  
Victoria Kotenko ◽  
Keyword(s):  
Supply Chain ◽  
Agricultural Sector ◽  
Chain Model ◽  
Rational Decision ◽  
Climate Conditions ◽  
Grain Crops ◽  
Proposed Model ◽  
Duration Magnitude ◽  
The Cost ◽  
Capacity Cost

The possibility of optimization of the grain crops supply chain taking into account the interests of the farm is investigated in the work. The main trends in the agricultural sector of Ukraine, which directly or indirectly affect the activities of the farm, are analyzed in the work. It is established that the choice of the most optimal means of transport for grain crops transportation allows the farm to reduce the cost of the logistics supply chain, which in turn will lead to increased profitability and expansion of the agricultural sector. The solution to this problem is possible through the modeling of the grain crops logistics supply chain. To form a model of the grain crops supply chain the process of grain delivery as a system that contains many acceptable alternatives for making the most rational decision. The proposed model is presented in form of a "black box" model. The objective function of this model for farms is to make a rational decision on the process of grain delivery in order to maximize profits by optimizing the costs of such supply chain and ensuring the development of farming as an activity. The original variables of this model are: grain crops yields and grain crops humidity; farm’s sown area; harvesting equipment efficiency; own granaries capacity; cost for grain storage in own granary or for elevator service; grain share depending on the storage place; sales price of grain crops: to the internal buyer, at the grain reception center, at the port terminal, and also weather and climate conditions during harvest (favorable / unfavorable conditions). The initial indicators that will characterize the success of the grain delivery process will be the following one: harvest duration, harvest amount, trucking cost, average daily harvest duration, additional costs obtained by managing grain humidity, magnitude of crop losses due to the harvest duration, magnitude of losses due to the grain quality reduction (with mixing, without mixing). The proposed model will consider all these factors and their impact on harvesting, storage and transportation of grain crops, and will help to take into account the costs for farms depending on the situation.

Network effect in shared supply chain platform value co-creation behavior in evolutionary game1

2021 ◽  
pp. 1-12
Author(s):  
Zou Xiaohong ◽  
Chen Jinlong ◽  
Gao Shuanping
Keyword(s):  
Boundary Condition ◽  
Supply Chain ◽  
Large Scale ◽  
Simulation Analysis ◽  
Supply And Demand ◽  
Evolutionary Game ◽  
Dynamic Game ◽  
Network Effect ◽  
Chain Model ◽  
The Cost

The shared supply chain model has provided new ideas for solving contradictions between supply and demand for large-scale standardized production by manufacturers and personalized demands of consumers. On the basis of a platform network effect perspective, this study constructs an evolutionary game model of value co-creation behavior for a shared supply chain platform and manufacturers, analyzes their evolutionary stable strategies, and uses numerical simulation analysis to further verify the model. The results revealed that the boundary condition for manufacturers to participate in value co-creation on a shared supply chain platform is that the net production cost of the manufacturers’ participation in the platform value co-creation must be less than that of nonparticipation. In addition, the boundary condition for the shared supply chain platform to actively participate in value co-creation is that the cost of the shared supply chain platform for active participation in value co-creation must be less than that of passive participation. Moreover, value co-creation behavior on the shared supply chain platform is a dynamic game interaction process between players with different benefit perceptions. Finally, the costs and benefits generated by the network effect can affect value co-creation on shared supply chain platforms.

The problems facing agricultural sector in Zanzibar and the prospects of Waqf-Muzar’ah-supply chain model

Humanomics ◽  
2017 ◽  
Vol 33 (2) ◽  
pp. 189-210 ◽  
Author(s):  
Issa Salim Moh’d ◽  
Mustafa Omar Mohammed ◽  
Buerhan Saiti
Keyword(s):  
Supply Chain ◽  
Interest Rates ◽  
Financial Models ◽  
Agricultural Sector ◽  
Chain Model ◽  
Content Type ◽  
High Interest ◽  
Supply Chain Model ◽  
The Government ◽  
Clove Industry

Purpose This paper aims to identify the appropriate model to address the financial challenges in agricultural sector in Zanzibar. Since the middle of 1960, clove production has continually and significantly decreased because of some problems and challenges that include financial ones. The financial intermediaries such as banks, cooperatives and micro-enterprises provide micro-financing to the farmers with high interest rates along with collateral requirements. The numerous programmes, measures and policies adopted by the relevant parties to find out the solutions to the dwindling clove production have failed. Design/methodology/approach The authors will review and examine several existing financial models, identify the issues and challenges of the current financial models and propose an appropriate Islamic financing model. Findings The numerous programmes, measures and policies adopted by the relevant parties to find out the solutions to the dwindling clove production have failed. This study, therefore, proposed a Waqf-Muzara’ah-supply chain model to address the financial challenge. Partnership arrangement is also suggested in the model to mitigate the issues of high interest rates and collateral that constrains the financial ability of the farmers and their agricultural output. Originality/value The contribution of the agricultural sector to the economic development of Zanzibar Islands is considerable. As one of the important agricultural sectors, the clove industry was the economic backbone of the government of Zanzibar. This study is believed to be a pioneering work; hence, it is the first study that investigates empirically the challenges facing the clove industry in Zanzibar.

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.

scholarly journals A quantitative examination of competition, coopetition and cooperation in supply chains

2011 ◽  
Vol 42 (3) ◽  
pp. 61-70 ◽  
Author(s):  
M. Sepehri ◽  
K. Fayazbakhsh
Keyword(s):  
Supply Chain ◽  
Chain Model ◽  
Total Production ◽  
Cooperative Approach ◽  
Deterministic Demand ◽  
Single Period ◽  
Multi Stage ◽  
Supply Chain Costs ◽  
Production And Distribution ◽  
The Cost

Traditionally, the members of a supply chain compete to reduce their individual costs. However, as collaborative supply chain approach is urged within industries to reduce the overall costs, either full cooperation or partial coopetition is considered by the members. In cooperative approach, members benefit from lower overall costs and lower cost variations. But individually, some seem better off in a competitive approach in a single period considering their local costs. Coopetition, or partial cooperation, may be suggested as a compromise to lower overall supply chain costs, while members choose alliances towards lower average costs and cost variations.A multi-stage, multi-member, multi-product and single period supply chain model is considered with deterministic demand, capacity and cost. Product prices are assumed to be constant. The objective is to minimize total production and distribution costs of the overall chain. Four distinct cases are considered, modeled, simulated and compared. These cases are complete competition, integrated cooperation, two-stage supply chain partition, and partial coopetition. Quantitative conclusions from the cost performance ratios are drawn using the simulation results.

scholarly journals Digital integration to enhance market efficiency and inclusion of smallholder farmers: a proposed model for fresh fruit and vegetable supply chain

2020 ◽  
Vol 23 (3) ◽  
pp. 319-337
Author(s):  
Swamikannu Nedumaran ◽  
Aravazhi Selvaraj ◽  
Ravi Nandi ◽  
Bhattacharjee Suchiradipta ◽  
Padmanabhan Jyosthnaa ◽  
...  
Keyword(s):  
Supply Chain ◽  
Information Asymmetry ◽  
Fruits And Vegetables ◽  
Smallholder Farmers ◽  
Chain Model ◽  
Chain Process ◽  
Market Uncertainty ◽  
Post Harvest ◽  
Proposed Model ◽  
Supply Chain Process

High-value agriculture in India is witnessing a transformation, specifically in fresh fruits and vegetables (FFV). Supply chain stakeholders, mainly small and marginal farmers, receive a very minimal share in consumer rupee due to market uncertainty, high post-harvest losses, information asymmetry, lack of processing facilities and the erratic demand-supply situation. The current study draws from an extensive review to propose a competitive, inclusive, sustainable and scalable supply chain model of primary processing centers connecting farmers directly and efficiently with consumers. The proposed model will connect producers with the rest of the supply chain and streamline the supply chain process to reduce post-harvest losses as much as possible. The integration of a market information system will ensure transparency to help in better decision-making, reduced intermediaries and information asymmetry for producers, as well as the systematic disposal of the produce. The model will increase the efficiency of the FFV supply chain and has practical implications for agribusiness management and policymakers in relation to FFV supply chain development in India.

A Proposed Supply Chain Model for Productivity Enhancement in Medium Scale Foundry Industries

2015 ◽  
Vol 20 ◽  
pp. 248-258 ◽  
Author(s):  
S. Nallusamy ◽  
A.M. Muhammad Umarmukdhar ◽  
R. Suganthini Rekha
Keyword(s):  
Supply Chain ◽  
Cast Iron ◽  
Strategic Decision ◽  
Chain Model ◽  
Medium Scale ◽  
Proposed Model ◽  
Supply Chain Model ◽  
Iron Foundry ◽  
Work Done ◽  
The Relationship

In global competitive atmosphere, foundry industries are needed to perform efficiently with minimum percentage of rejections there by reducing cost of manufacturing. Foundries are using state of art processes with the involvement of experienced and knowledgeable people but the experience and knowledge needs to be transformed for the growth of the industries. Some foundries are working in a trial and error mode and get their work done. Many foundries have very less control on the rejections since they are in critical need of meeting production targets and they ignore the rejections and recover the castings. They need to have an efficient quality control aspiring for defects free castings with minimum production cost. Strategic decision makers need extensive models to guide them for efficient decision making that increases their profitability of the entire chain. The noval idea of this research is to investigate the various defects of cast iron foundry and suggest remedies for the defects in a day to day activity and propose a supply chain model to present the necessity of quality in a medium scale industry of cast iron foundry under different delay conditions, rejection rates and also various other factors. The results of the proposed model have been discussed and confirmed based on the original results of an industry. This research is also inspects the relationship between supply chain processes and quality as a key role in supply chain management.

scholarly journals Sustainable Coal Supply Chain Management Using Exergy Analysis and Genetic Algorithm

2021 ◽  
Vol 29 (1) ◽  
pp. 44-53
Author(s):  
Reihaneh Naderi ◽  
Mohsen Shafiei Nikabadi ◽  
Akbar Alem-Tabriz ◽  
Mir Saman Pishvaee
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Exergy Analysis ◽  
Electricity Production ◽  
Chain Model ◽  
Economic Costs ◽  
Environmental Threats ◽  
Coal Supply ◽  
Sustainable Usage ◽  
The Cost

AbstractEnvironmental threats of coal usage in the electricity production combined with the consumption of renewable and non-renewable resources had led to worldwide energy challenges. The cost of coal mining and economical and environmentally sustainable usage of mined coal could be optimized by efficient management of coal supply chain. This paper provides a mathematical model for improving coal supply chain sustainability including the cost of exergy destruction (entropy). In the proposed method, exergy analysis is used to formulate the model considering not only economic costs but also destructed exergy cost, while genetic algorithm is applied to efficiently solve the proposed model. In order to validate the proposed methodology, some numerical examples of coal supply chains are presented and discussed to show the usability of the proposed exergetic coal supply chain model and claim its benefits over the existing models. According to the results, the proposed method provides 17.6% saving in the consumed exergy by accepting 2.7% more economic costs. The presented model can be used to improve the sustainability of coal supply chain for either designing new projects or upgrading existing processes.

scholarly journals Rantai Pasokan Cerdas; Menyajikan Peluang yang Belum Pernah Ada Sebelumnya untuk Mengelola Rantai Pasokan Pertanian

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Tomy Perdana ◽  
Fernianda Rahayu Hermiatin
Keyword(s):  
Supply Chain ◽  
Action Research ◽  
Participatory Action Research ◽  
Agricultural Sector ◽  
Chain Model ◽  
Participatory Action ◽  
Economic Sectors ◽  
Food Hubs ◽  
Big Picture ◽  
The Government

Pertanian menjadi salah satu sektor perekonomian penyumbang PDB negara. Beragam potensi dan keragaman sektor pertanian menjadi potensi kekuatan untuk dikembangkan secara berkesinambungan. Akan tetapi, potensi dan keragaman sumber daya tersebut masih menghadapi berbagai kendala dan permasalahan, seperti iklim, produksi, pasca panen, serta pemasaran. Berdasarkan hal tersebut, penelitian ini bertujuan untuk mengidentifikasi berbagai permasalahan dan kendala dengan menggunakan pendekatan yang bersifat holistik dan partisipatif. Proses analisis dimulai dengan memvisualisasikan Big Picture Mapping pada proses produksi hulu hingga hilir untuk mengidentifikasi permasalahan dan kendala memalui proses dialog dan diskusi sepanjang rantai pasok pertanian berdasarkan konsep value co-creation. Pendekatan yang digunakan untuk menggali informasi yaitu dengan metode participatory action research yang melibatkan partisipasi dari peneliti, praktisi dan pemangku kebijakan sektor pertanian. Sektor pertanian di Provinsi Jawa Barat menjadi studi kasus pada penelitian ini. Pelibatan aktor dari sektor pertanian, peternakan, perikanan, dan perkebunan, pelaku pasar dan pemerintah menjadi dasar pengembangan model smart supply chain pada sektor pertnian. Penelitian ini menunjukan bahwa permasalahan yang terjadi pada sektor pertanian dikarenakan tidak ada integrasi antar pelaku rantai pasok serta para pemangku kepentingan (pemerintah, pihak swasta, dan peneliti) sehingga kegiatan pembangunan dijalankan secara terpisah dan tidak dikoordinasikan dengan tepat. Berdasarkan hal tersebut, rekomendasi pengembangan pembangunan sektor pertanian dengan pengembangan smart supply chain harus dilandasi oleh koordinasi antar aktor yang dilakukan secara terintegrasi. Komponen utama pengembangan smart supply chain sektor pertanian harus melibatkan klaster, simpul pangan, dan pengembangan berbagai teknologi digital yang tepat guna.   Agriculture is one of the economic sectors contributing to the country's GDP. Various potentials and diversity of the agricultural sector become the potential strength to be developed sustainably. However, the potential and diversity of these resources still face various obstacles and problems, such as climate, production, post-harvest, and marketing. According to this case, this study aims to identify various problems and obstacles using a holistic and participatory approach. The analysis process begins by visualizing the Big Picture Mapping in the upstream to downstream production processes to identify problems and obstacles through a process of dialogue and discussion throughout the agricultural supply chain based on the value co-creation concept. The approach used to dig up information is by using participatory action research methods that involve participation from researchers, practitioners and stakeholders in the agricultural sector. The agricultural sector in West Java Province is a case study in this research. The involvement of actors from the agricultural, livestock, fisheries and plantation sectors, market players and the government is the basis for developing the agricultural smart supply chain model. This research shows that the problems that occur in the agricultural sector are due to the lack of integration between supply chain actors and stakeholders (i.e., government, private sector, and researchers). The development activities are carried out separately and are not appropriately coordinated. Based on this case, recommendations for developing the agricultural sector with the development of smart supply chains must be based on coordination between actors carried out in an integrated manner. The main components of agricultural smart supply chain development should involve clusters, food hubs, and the development of various appropriate digital technologies.

scholarly journals Location Optimization of Hydrogen Refueling Stations in Hydrogen Expressway Based on Hydrogen Supply Chain Cost

2021 ◽  
Author(s):  
Dongxing Wang ◽  
Zhe Wang ◽  
Fenghui Han ◽  
Fan Zhao ◽  
Yulong Ji
Keyword(s):  
Supply Chain ◽  
Offshore Wind ◽  
Hydrogen Energy ◽  
Offshore Wind Power ◽  
Source Selection ◽  
Proposed Model ◽  
Hydrogen Supply ◽  
Hydrogen Supply Chain ◽  
Hydrogen Station ◽  
The Cost

Hydrogen energy is regarded as an important way to achieve carbon emission reduction. This paper focuses on the combination of the design of the hydrogen supply chain network and the location of hydrogen refueling stations on the expressway. Based on the cost analysis of the hydrogen supply chain, a multi-objective model is developed to determine the optimal scale and location of hydrogen refueling stations on the hydrogen expressway. The proposed model considers the hydrogen demand forecast, hydrogen source selection, hydrogen production and storage and transportation, hydrogen station refueling mode, etc. Taking Dalian City, China as an example, with offshore wind power as a reliable green hydrogen supply to select the location and capacity of hydrogen refueling stations for the hydrogen energy demonstration section of a certain expressway under multiple scenarios. The results of the case show that 4 and 5 stations are optimized on the expressway section respectively, and the unit hydrogen cost is $14.3 /kg H2 and $11.8 /kg H2 respectively, which are equal to the average hydrogen price in the international range. The optimization results verify the feasibility and effectiveness of the model.

Determination of the Optimal Number of Suppliers Considering the Risk: Emersun Company as a Case Study

2012 ◽  
Vol 433-440 ◽  
pp. 5873-5880 ◽  
Author(s):  
Nasim Mirahmadi ◽  
Esmaeel Saberi ◽  
Ebrahim Teimoury
Keyword(s):  
Supply Chain ◽  
Optimal Number ◽  
Development Cost ◽  
Supply Risk ◽  
Proposed Model ◽  
Management Area ◽  
The Cost ◽  
Tree Approach

Determining the number of suppliers chosen for cooperation in a supply chain is one of the most important problems in the supply chain management area. Regarding the fact that simultaneously decreasing the risk and cost is one of the most important objectives of every organization, besides the cost, the risk has also been introduced in the recent researches, as one of the most important criteria. In this paper, the decision tree approach is used for determining the optimal number of suppliers considering the supply risk and it has been tried to develop an applied method through expanding the cost criteria. The proposed model in this paper, therefore, contains any kind of cost ingredients such as cost of suppliers development, cost of suppliers management, cost of missing discount in volume due to increase in number of suppliers in supply base, and loss cost due to supply postponement from suppliers. This approach is implemented in Emersun Company.

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