Evolving Supply Chains and Local Freight Flows: A Geographic Information System Analysis of Minnesota Cereal Grain Movement

2018 ◽  
Vol 2672 (9) ◽  
pp. 1-11 ◽  
Author(s):  
Travis Fried ◽  
Lee Munnich ◽  
Thomas Horan ◽  
Brian Hilton
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
System Analysis ◽  
Hot Spot ◽  
Market Price ◽  
Small Scale ◽  
United States Department ◽  
Infrastructure Development ◽  
Commodity Flow ◽  
Cereal Grain

In Minnesota, technological and economic shifts in the grain supply chain have altered the way grain producers and sellers navigate their local freight network. In particular, many producers have been increasing their personal trucking capacity and taking longer trips to intermodal and domestic market options. This logistical reshaping of local grain supply chains pressure transportation officials to reconsider the consequences for road infrastructure and congested freight corridors. Studies are discussing the potential of disaggregated commodity flow survey (CFS) data as a critical tool in understanding small-scale freight movement and informing infrastructural investment decisions. Utilizing ArcGIS’s Network Analyst and Hot spot tools to analyze inter-county grain trucking, our study effectively differentiates highly active freight corridors. The model is used to further inform an ongoing infrastructure development project in the Twin Cities metro area by contextualizing road usage within the economic framework of the grain supply chain. However, this study finds CFS data alone fails to account for shifting supply chain conditions, and their consequent impact on the road network. Employing United States Department of Agriculture crop production and cropland data, this study additionally builds an original, computational model that simulates corn producer shipment reaction to market price competition within two key grain-producing counties. Results visualize how producers, during spot months, may be incentivized to haul longer distances to more competitive markets—especially emerging biofuel industries. This lesson proves crucial for state and local transportation officials who wish to identify freight infrastructure development opportunities that invigorate and accommodate growth in Minnesota’s expanding agricultural industry cluster.

scholarly journals Supply Chain Competition: A Market Game Approach

2020 ◽  
Vol 66 (12) ◽  
pp. 5648-5664 ◽  
Author(s):  
C. Gizem Korpeoglu ◽  
Ersin Körpeoğlu ◽  
Soo-Haeng Cho
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Operations Management ◽  
Wholesale Price ◽  
Market Price ◽  
Market Game ◽  
Wholesale Market ◽  
Supply Chain Competition ◽  
Local Supply ◽  
Buyer Power

We study supply chains where multiple suppliers sell to multiple retailers through a wholesale market. In practice, we often observe that both suppliers and retailers tend to influence the wholesale market price that retailers pay to suppliers. However, existing models of supply chain competition do not capture retailers’ influence on the wholesale price (i.e., buyer power) and show that the wholesale price and the order quantity per retailer do not change with the number of retailers. To overcome this limitation, we develop a competition model based on the market game mechanism in which the wholesale price is determined based on both suppliers’ and retailers’ decisions. When taking into account retailers’ buyer power, we obtain the result that is consistent with the observed practice: As the number of retailers increases, each retailer’s buyer power decreases, and each retailer is willing to pay more for her order, so the wholesale price increases. In this case, supply chain expansion to include more retailers (or suppliers) turns out to be more beneficial in terms of supply chain efficiency than what the prior literature shows without considering buyer power. Finally, we analyze the integration of two local supply chains and show that although the profit of the integrated supply chain is greater than the sum of total profits of local supply chains, integration may reduce the total profit of firms in a retailer-oriented supply chain that has more retailers than suppliers. This paper was accepted by Charles Corbett, operations management.

scholarly journals Control Model for Intelligent and Demand-Driven Supply Chains

2012 ◽  
pp. 262-283
Author(s):  
Jan Strandhagen ◽  
Heidi C. Dreyer ◽  
Anita Romsdal
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Operations Management ◽  
Relevant Information ◽  
Control Model ◽  
Information And Communications Technology ◽  
Future Research ◽  
Small Scale ◽  
Information And Communication ◽  
Trust And Power

Orchestrating supply chains is challenging. This chapter describes how to control a supply chain to make it truly demand-driven – based on the assumption that all relevant information is made available to all partners in real time. The chapter explores the elements of a framework for intelligent and demand-driven supply chain control, with regards to the overall concept and associated principles, and demonstrates these in a case example. Challenges to the realization of the proposed control model include trust and power, supply chain dynamicity and uncertainty, and required investments in competence, standardization, and information and communication technology. Some of these can be met through initial small-scale implementations of the proposed model, to demonstrate effects, and by exploiting facilities for information sharing and collaboration, like supply chain dashboards and control studios. Future research within operations management, technology and information and communications technology (ICT) will support broader realization of the proposed control model.

scholarly journals Modeling environmentally responsible supply chains

2021 ◽  
Author(s):  
Ehab A. Bazan
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Reverse Logistics ◽  
Closed Loop ◽  
System Analysis ◽  
Business Environment ◽  
Chain Model ◽  
Inventory Models ◽  
Environmental Aspect ◽  
Environmentally Responsible

Numerous literature reviews and research studies have highlighted the increasing environmental concerns of supply chain stakeholders (managers, legislative bodies, customers, etc.). Guaranteeing environmentally conscious supply chain operations is closely linked to an organization’s sustainability and success. A large part of this is the responsible management of product return flows in production and inventory environments. Reverse logistics is inevitable in today’s business environment with the most common reasons being product returns, incorrect product delivery, damaged products, and product exchange programs. Green concepts and should be operationalized in a supply chain context. The literature emphasizes that the modelling of reverse logistics and closed-loop supply chains from a green and/or environmental aspect lacks investigation and development. Mathematical modelling of such systems will assist decisionmaking processes and provided a better understanding of environmentally responsible inventory models. This thesis reviews the literature on the modelling of reverse logistics inventory systems that are based on the economic order/production quantity (EOQ/EPQ) and the joint economic lot size (JELS) settings so as to systematically analyse the mathematics involved in capturing the main characteristics of related processes. The literature is surveyed and classified according to the specific issues faced and modelling assumptions. Special attention is given to environmental issues. There are indications of the need for the mathematics of reverse logistics models to follow current trends in ‘greening’ inventory and supply-chain models. The modelling of waste disposal, greenhouse-gas emissions and energy consumption during production is considered as the most pressing priority for the future of inventory models. Mathematical models for two-level supply chains with different coordination policies, a manufacturing-remanufacturing inventory model and a two-level closed-loop supply chain model with remanufacturing under different coordination are developed in this thesis. Numerical examples are presented and discussed presenting managerial insights and implications. Input-Output system analysis and multi-objective optimization modeling are suggested future research directions.

scholarly journals Approaches for solving current problems of pharmaceutical logistics during the pandemic period

2020 ◽  
pp. 3-15
Author(s):  
O. V. Posilkina ◽  
E. V. Litvinova ◽  
A. G. Lisna
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Exchange ◽  
Access To Health Care ◽  
System Analysis ◽  
Retail Trade ◽  
Necessary Condition ◽  
Pharmaceutical Supply Chain ◽  
The Law ◽  
Pharmaceutical Supply Chains

The global economic crisis, which is linked to the coronavirus pandemic, has also affected pharmaceutical logistics. Therefore, the improvement of logistics processes within the pharmaceutical supply chain to increase the access to health care to the population in a pandemic becomes especially important. The aim of the work is to study and summarize the main problems of pharmaceutical logistics in a coronavirus pandemic and substantiate the reserves to improve the functioning of pharmaceutical supply chains. To achieve the goal of the study, an analysis of the domestic scientific literature and the current regulatory framework of Ukraine was conducted. It has used abstract-logical, monographic research methods and system analysis, as well as the method of expert survey. Realizing the importance of providing the population with necessary medicines during the pandemic in Ukraine on October 14, 2020, the Law «Changes to the article 19 of the Law of Ukraine "On Medicinal Products" on Electronic Retail Trade in Medicines» of September 17, 2020 № 904-IX has enforced. It has been evaluated the factors influencing the efficiency and coordination of the activities of pharmaceutical supply chain participants. A risk management algorithm for pharmaceutical supply chains has been developed, its structural elements and relationships have been identified. The presented algorithm will allow analyzing and estimating any deviations from the planned parameters in pharmaceutical supply chains on the basis of establishment of system of the corresponding indicators and on the basis of this information to define effective methods to counter the risks. The urgency of the problem of increasing the reliability and safety of domestic pharmaceutical supply chains in a pandemic has proved. It is justified that the introduction of digital technologies will increase the reliability, transparency and quality of business processes in the pharmaceutical supply chains during a pandemic, drastic changes in the pharmaceutical market and low predictability of demand for medicines and medical devices. The main problems of logistics in a pandemic in the domestic pharmaceutical industry are studied. It has established that the narrowest places in the organization of pharmaceutical supply chains are the improper organization of information exchange between pharmaceutical supply chain participants and the insufficient professional level of production interaction of managers. It has established the priority directions of increase of stability and reliability of functioning of pharmaceutical supply chains which is a necessary condition of accessibility of pharmaceutical provision of the population, especially in the conditions of a pandemic.

A Review on Understanding Blockchain Technology in Global Supply Chains; Opportunities and Challenges for Agribusinesses

2021 ◽  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Capacity Building ◽  
Continuous Distribution ◽  
Small Scale ◽  
Trust Building ◽  
Global Supply Chains ◽  
Limited Knowledge ◽  
Goods And Services ◽  
Blockchain Technology

The present study was conducted to systematically investigate blockchain technology adopted in global supply chains, its potential opportunities and challenges of implementation. The Mendeley database was used to gather English papers on the blockchain domain. Descriptive findings from the review showed that research on the topic was predominant in 2020, which could be attributed to the COVID-19 outbreak. Also, transparency, trust-building and traceability were the most acknowledged benefits of blockchain technology in supply chains. Despite these benefits, some underlying challenges impeding blockchain implementation include the high cost of adoption, limited knowledge on blockchain architecture, and lack of formal laws and regulations of blockchain platforms. Therefore, it is recommended that intense education and capacity-building training should be channelled to supply-chain firms. Further, government and stakeholders should focus on scaling the blockchain-enabled supply chain to ensure the continuous distribution of goods and services in the wake of any unforeseen pandemic such as COVID-19. As such, research targeted at investigating small-scale agribusinesses' readiness to accept blockchain technology would be necessary.

scholarly journals Modeling environmentally responsible supply chains

2021 ◽  
Author(s):  
Ehab A. Bazan
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Reverse Logistics ◽  
Closed Loop ◽  
System Analysis ◽  
Business Environment ◽  
Chain Model ◽  
Inventory Models ◽  
Environmental Aspect ◽  
Environmentally Responsible

Numerous literature reviews and research studies have highlighted the increasing environmental concerns of supply chain stakeholders (managers, legislative bodies, customers, etc.). Guaranteeing environmentally conscious supply chain operations is closely linked to an organization’s sustainability and success. A large part of this is the responsible management of product return flows in production and inventory environments. Reverse logistics is inevitable in today’s business environment with the most common reasons being product returns, incorrect product delivery, damaged products, and product exchange programs. Green concepts and should be operationalized in a supply chain context. The literature emphasizes that the modelling of reverse logistics and closed-loop supply chains from a green and/or environmental aspect lacks investigation and development. Mathematical modelling of such systems will assist decisionmaking processes and provided a better understanding of environmentally responsible inventory models. This thesis reviews the literature on the modelling of reverse logistics inventory systems that are based on the economic order/production quantity (EOQ/EPQ) and the joint economic lot size (JELS) settings so as to systematically analyse the mathematics involved in capturing the main characteristics of related processes. The literature is surveyed and classified according to the specific issues faced and modelling assumptions. Special attention is given to environmental issues. There are indications of the need for the mathematics of reverse logistics models to follow current trends in ‘greening’ inventory and supply-chain models. The modelling of waste disposal, greenhouse-gas emissions and energy consumption during production is considered as the most pressing priority for the future of inventory models. Mathematical models for two-level supply chains with different coordination policies, a manufacturing-remanufacturing inventory model and a two-level closed-loop supply chain model with remanufacturing under different coordination are developed in this thesis. Numerical examples are presented and discussed presenting managerial insights and implications. Input-Output system analysis and multi-objective optimization modeling are suggested future research directions.

scholarly journals DYNAMIC SUPPLY CHAIN CAPABILITY ANALYSIS OF HONG KONG-ZHUHAI-MACAO BRIDGE CONSTRUCTION: A TOPIC MODELING APPROACH

2021 ◽  
Author(s):  
E.M.A.C. Ekanayake ◽  
◽  
Geoffrey Qiping Shen ◽  
Mohan M. Kumaraswamy ◽  
Jin Xue ◽  
...  
Keyword(s):  
Hong Kong ◽  
Supply Chain ◽  
Supply Chains ◽  
Research Approach ◽  
Infrastructure Development ◽  
Modeling Approach ◽  
Ex Post ◽  
Time Modeling ◽  
Project Phases ◽  
Capability Evaluation

Prefabricated construction as a preferred construction approach instigated significant technological advancements in construction supply chains in Hong Kong (HK). The Hong Kong-Zhuhai-Macao Bridge (HZMB) was a milestone prefabricated construction project which was successfully constructed using these industrial advancements. However, the project itself was a great challenge as it was highly vulnerable to disruptions due to complex supply chain processes. In this regard, increased resilience could be the key to boosting project performance through enhanced Supply Chain Capabilities (SCCs), where identifying SCC dynamics becomes essential. Therefore, this study employed the Topic Over Time Modeling approach to detect critical SCCs using 1,748 unstructured official documents on the HZMB from 2003 to 2018, which spans the period from project design to handover. The popularity trend analysis of texts enabled identifying the six most critical capabilities associated with each construction phase of planning, construction and handover. Thereafter, an ex-post capability evaluation map was developed by considering the popularity trend of capabilities and their relevance to different project phases. Industry practitioners would benefit from prior knowledge of SCCs and their dynamic impact on each project phase to prioritize initiating them adequately and appropriately, targeting value-enhanced-resilient supply chains in ex-ante decision-making of future prefabricated infrastructure development projects. Further, the text-mining research approach unveils to academia, an effective and novel mechanism to extract dynamic empirical clues from a large unstructured set of documents in construction SCC analysis research.

scholarly journals Control Model for Intelligent and Demand-Driven Supply Chains

2011 ◽  
pp. 49-70 ◽  
Author(s):  
Jan Strandhagen ◽  
Heidi C. Dreyer ◽  
Anita Romsdal
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Operations Management ◽  
Relevant Information ◽  
Control Model ◽  
Information And Communications Technology ◽  
Future Research ◽  
Small Scale ◽  
Information And Communication ◽  
Trust And Power

Orchestrating supply chains is challenging. This chapter describes how to control a supply chain to make it truly demand-driven – based on the assumption that all relevant information is made available to all partners in real time. The chapter explores the elements of a framework for intelligent and demand-driven supply chain control, with regards to the overall concept and associated principles, and demonstrates these in a case example. Challenges to the realization of the proposed control model include trust and power, supply chain dynamicity and uncertainty, and required investments in competence, standardization, and information and communication technology. Some of these can be met through initial small-scale implementations of the proposed model, to demonstrate effects, and by exploiting facilities for information sharing and collaboration, like supply chain dashboards and control studios. Future research within operations management, technology and information and communications technology (ICT) will support broader realization of the proposed control model.

scholarly journals Design of Small LNG Supply Chain by Multi-Period Optimization

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6704
Author(s):  
Alice Bittante ◽  
Henrik Saxén
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Mixed Integer Linear Programming ◽  
Time Horizon ◽  
Coastal Region ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Small Scale ◽  
Flexible Tool ◽  
Integer Linear Programming Problem

A mathematical model for the design of small-scale supply chains for liquefied natural gas (LNG) has been developed. It considers the maritime delivery of LNG from supply ports to satellite terminals and land-based transports from the terminals to consumers on or off the coast. Both tactical and strategic aspects in the supply chain design are addressed by optimizing the maritime routing of a heterogeneous fleet of ships, truck connections, and the locations of the satellite terminals. The objective is to minimize the overall cost, including operation and investment costs for the selected time horizon. The model is expressed as a mixed-integer linear programming problem, applying a multi-period formulation to determine optimal storage sizes and inventory at the satellite terminals. Two case studies illustrate the model, where optimal LNG supply chains for a region with sparsely distributed island (without land transports) and a coastal region at a gulf (with both sea and land transports) are designed. The model is demonstrated to be a flexible tool suited for the initial design and feasibility analysis of small-scale LNG supply chains.

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