Design and Development of an e-Platform for Supporting Liquid Food Supply Chain Monitoring and Traceability

2010 ◽  
Vol 3 (3) ◽  
pp. 29-49 ◽  
Author(s):  
Dimitris Folinas ◽  
Ioannis Manikas
Keyword(s):  
Supply Chain ◽  
Reference Model ◽  
Raw Materials ◽  
Real Life ◽  
Liquid Food ◽  
Efficient Operation ◽  
Traceability System ◽  
Proposed Model ◽  
Production And Distribution ◽  
Liquid Products

In this paper, the deliverables of a research project are presented, which aims at the development of a webbased platform capable of supporting the traceability of liquid products like milk, wine and olive oil. First, it includes the design of a supply chain reference model and the identification of the data required for the efficient operation of the traceability system. The main elements of the proposed model defined in this paper are the entities, stages, events, and processes. The reference model consists of three distinct phases that represent stages of real-life supply chains. Each of these phases is defined by certain interactions between the above basic elements. Additionally, the proposed e-platform is based on the above reference model aiming to follow and register the production and distribution processes of the raw materials, semi-finals, and final products that are used in the examined industry.

Design and Development of an e-Platform for Supporting Liquid Food Supply Chain Monitoring and Traceability

2012 ◽  
pp. 290-310
Author(s):  
Dimitris Folinas ◽  
Ioannis Manikas
Keyword(s):  
Supply Chain ◽  
Reference Model ◽  
Raw Materials ◽  
Real Life ◽  
Web Based ◽  
Efficient Operation ◽  
Traceability System ◽  
Proposed Model ◽  
Production And Distribution ◽  
Liquid Products

In this paper, the deliverables of a research project are presented, which aims at the development of a web-based platform capable of supporting the traceability of liquid products like milk, wine and olive oil. First, it includes the design of a supply chain reference model and the identification of the data required for the efficient operation of the traceability system. The main elements of the proposed model defined in this paper are the entities, stages, events, and processes. The reference model consists of three distinct phases that represent stages of real-life supply chains. Each of these phases is defined by certain interactions between the above basic elements. Additionally, the proposed e-platform is based on the above reference model aiming to follow and register the production and distribution processes of the raw materials, semi-finals, and final products that are used in the examined industry.

A robust possibilistic programming model for production-routing problem in a three-echelon supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Ali Beheshtinia ◽  
Narjes Salmabadi ◽  
Somaye Rahimi
Keyword(s):  
Supply Chain ◽  
Real Life ◽  
Model Parameters ◽  
Pickup And Delivery ◽  
Distribution Centers ◽  
Routing Problem ◽  
Remarkable Feature ◽  
Content Type ◽  
Proposed Model ◽  
Production Routing

Purpose This paper aims to provide an integrated production-routing model in a three-echelon supply chain containing a two-layer transportation system to minimize the total costs of production, transportation, inventory holding and expired drugs treatment. In the proposed problem, some specifications such as multisite manufacturing, simultaneous pickup and delivery and uncertainty in parameters are considered. Design/methodology/approach At first, a mathematical model has been proposed for the problem. Then, one possibilistic model and one robust possibilistic model equivalent to the initial model are provided regarding the uncertain nature of the model parameters and the inaccessibility of their probability function. Finally, the performance of the proposed model is evaluated using the real data collected from a pharmaceutical production center in Iran. The results reveal the proper performance of the proposed models. Findings The results obtained from applying the proposed model to a real-life production center indicated that the number of expired drugs has decreased because of using this model, also the costs of the system were reduced owing to integrating simultaneous drug pickup and delivery operations. Moreover, regarding the results of simulations, the robust possibilistic model had the best performance among the proposed models. Originality/value This research considers a two-layer vehicle routing in a production-routing problem with inventory planning. Moreover, multisite manufacturing, simultaneous pickup of the expired drugs and delivery of the drugs to the distribution centers are considered. Providing a robust possibilistic model for tackling the uncertainty in demand, costs, production capacity and drug expiration costs is considered as another remarkable feature of the proposed model.

Blockchain technology development and implementation for global logistics operations: a reference model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rukshanda Kamran ◽  
Nasreen Khan ◽  
Balan Sundarakani
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Reference Model ◽  
Process Efficiency ◽  
Future Research ◽  
Logistics Industry ◽  
Content Type ◽  
Traceability System ◽  
Blockchain Technology ◽  
Global Logistics

Purpose Blockchain technology offers a lot of potential benefits in supply chain management. However, there is a need of a reference model which addresses the gaps in existing frameworks. This paper aims to propose a blockchain technology-based reference model which can be applied to global logistics operations. Design/methodology/approach The researchers have integrated the fit-for-purpose theoretical framework and prototyping methodology to design the reference model, a blockchain-based logistics, tracking and traceability system (BLTTS). The researchers demonstrated the application of the reference model through a health-care supply chain case study. The proposed BLTTS can be implemented across global logistics operations for business performance improvement. Findings The research provides a framework and recommendations for global companies to consider when adopting the blockchain technology for implementation. The researchers found that the Ethereum blockchain technology improves security of the data shared within the block through the secure hashing algorithm 1. The hash algorithm ensures anonymity of the involved parties. The model integrates blockchain with supply chain thus creating transparent process, efficiency and real-time communication. Research limitations/implications The reference model will offer a better solution to global logistics operations challenges. It provides recommendations to key stakeholders involved in logistics operations segment of the logistics industry while adopting blockchain technology. Apart from the methodological limitation of the study, the system compatibility and the layer configuration aspects might be posing potential challenges while upscaling the implementation. Originality/value The proposed reference model overcomes the drawbacks of existing models as it integrates Ethereum technology. In addition, the researchers have applied the model to demonstrate its functioning in real-time environment, which could guide for future research.

Process Model for an Empiracally Grounded Reference Model Construction

2011 ◽  
pp. 77-97 ◽  
Author(s):  
Frederik Ahlemann ◽  
Heike Gastl
Keyword(s):  
Literature Review ◽  
Process Model ◽  
Epistemological Beliefs ◽  
Reference Model ◽  
Real Life ◽  
Process Models ◽  
Research Projects ◽  
Ongoing Research ◽  
Reference Models ◽  
Proposed Model

This chapter stresses the importance of integrating empirical evidence in the construction process of reference models. With reference to the authors’ underly-ing epistemological beliefs, requirements for an empirically grounded process model are derived. Based on a literature review of existing process models and experience gained from three research projects, an advanced process model is proposed in order to provide concrete instructions that show how these require-ments can be met. Real-life examples from completed and ongoing research pro-jects are continuously integrated so as to contribute to the practicability of the proposed model for the reader.

scholarly journals The LR-Type Fuzzy Multi-Objective Vendor Selection Problem in Supply Chain Management

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1621
Author(s):  
Irfan Ali ◽  
Armin Fügenschuh ◽  
Srikant Gupta ◽  
Umar Muhammad Modibbo
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Real Life ◽  
Selection Problem ◽  
Programming Approach ◽  
Vendor Selection ◽  
Chain Management ◽  
Multi Objective ◽  
Fuzzy Environment ◽  
Proposed Model

Vendor selection is an established problem in supply chain management. It is regarded as a strategic resource by manufacturers, which must be managed efficiently. Any inappropriate selection of the vendors may lead to severe issues in the supply chain network. Hence, the desire to develop a model that minimizes the combination of transportation, deliveries, and ordering costs under uncertainty situation. In this paper, a multi-objective vendor selection problem under fuzzy environment is solved using a fuzzy goal programming approach. The vendor selection problem was modeled as a multi-objective problem, including three primary objectives of minimizing the transportation cost; the late deliveries; and the net ordering cost subject to constraints related to aggregate demand; vendor capacity; budget allocation; purchasing value; vendors’ quota; and quantity rejected. The proposed model input parameters are considered to be LR fuzzy numbers. The effectiveness of the model is illustrated with simulated data using R statistical package based on a real-life case study which was analyzed using LINGO 16.0 optimization software. The decision on the vendor’s quota allocation and selection under different degree of vagueness in the information was provided. The proposed model can address realistic vendor selection problem in the fuzzy environment and can serve as a useful tool for multi-criteria decision-making in supply chain management.

Robust optimization model for sustainable supply chain for production and distribution of polyethylene pipe

2020 ◽  
Vol 15 (4) ◽  
pp. 1613-1653
Author(s):  
Jaber Valizadeh ◽  
Ehsan Sadeh ◽  
Zainolabedin Amini Sabegh ◽  
Ashkan Hafezalkotob
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Environmental Impacts ◽  
Closed Loop ◽  
Optimal Location ◽  
Computational Time ◽  
Closed Loop Supply Chain ◽  
Content Type ◽  
Proposed Model ◽  
Production And Distribution

Purpose In this study, the authors consider the key decisions in the design of the green closed-loop supply chain (CSLC) network. These decisions include considering the optimal location of suppliers, production facilities, distribution, customers, recycling centers and disposal of non-recyclable goods. In the proposed model, the level of technology used in recycling and production centers is taken into account. Moreover, in this paper is the environmental impacts of production and distribution of products based on the eco-indicator 99 are considered. Design/methodology/approach In this study, the author consider the key decisions in the design of the green CLSC network. These decisions include considering the optimal location of suppliers, production facilities, distribution, customers, recycling centers and disposal of non-recyclable goods. In the proposed model, the level of technology used in recycling and production centers is taken into account. Moreover, the environmental impacts of production and distribution of products based on the eco-indicator 99 are considered. Findings The results indicate that the results obtained from the colonial competition algorithm have higher quality than the genetic algorithm. This quality of results includes relative percentage deviation and computational time of the algorithm and it is shown that the computational time of the colonial competition algorithm is significantly lower than the computational time of the genetic algorithm. Furthermore, the limit test and sensitivity analysis results show that the proposed model has sufficient accuracy. Originality/value Solid modeling of the green supply chain of the closed loop using the solid optimized method by Bertsimas and Sim. Development of models that considered environmental impacts to the closed loop supply chain. Considering the impact of the technology type in the manufacture of products and the recycling of waste that will reduce emissions of environmental pollutants. Another innovation of the model is the multi-cycle modeling of the closed loop of supply chain by considering the uncertainty and the fixed and variable cost of transport.

scholarly journals Evaluating Supply Chain Management: A Methodology Based on a Theoretical Model

2015 ◽  
Vol 19 (1) ◽  
pp. 26-44 ◽  
Author(s):  
Alexandre Tadeu Simon ◽  
Luiz Carlos Di Serio ◽  
Silvio Roberto Ignacio Pires ◽  
Guilherme Silveira Martins
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Processes ◽  
Reference Model ◽  
Theory Development ◽  
Chain Management ◽  
Academic Literature ◽  
General Terms ◽  
Proposed Model ◽  
Original Contribution

Despite the increasing interest in supply chain management (SCM) by researchers and practitioners, there is still a lack of academic literature concerning topics such as methodologies to guide and support SCM evaluation. Most developed methodologies have been provided by consulting companies and are restricted in their publication and use. This article presents a methodology for evaluating companies’ degree of adherence to a SCM conceptual model. The methodology is based on Cooper, Lambert and Pagh’s original contribution and involves analysis of eleven referential axes established from key business processes, horizontal structures, and initiatives & practices. We analyze the applicability of the proposed model based on findings from interviews with experts - academics and practitioners - as well as from case studies of three focal firms and their supply chains. In general terms, the methodology can be considered a diagnostic instrument that allows companies to evaluate their maturity regarding SCM practices. From this diagnosis, firms can identify and implement activities to improve degree of adherence to the reference model and achieve SCM benefits. The methodology aims to contribute to SCM theory development. It is an initial, but structured, reference for translating a theoretical approach into practical aspects.

scholarly journals Blockchain-Based Rice Supply Chain Traceability to Ensure Rice Quality and Food Safety

2021 ◽  
Author(s):  
Qi Tao ◽  
Adnan Iftekhar ◽  
Zhenyu Cai ◽  
Xiaohui Cui
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Raw Materials ◽  
Quality Information ◽  
World Population ◽  
Rice Quality ◽  
Industry Chain ◽  
Traceability System ◽  
Blockchain Technology ◽  
Critical Nodes

Rice is the grain feeds more than half of the world population. It is an important staple food provides twenty percent of the calories consumed worldwide. Food safety affects the health of consumers. Establishing an effective traceability system is one of the primary measures to protect rice quality and food safety. Blockchain-based traceability system has the characteristics of data tamper-proofing, decentralization, and co-governance. This paper proposed a rice traceability scheme based on blockchain technology that selects the critical nodes in the rice industry chain to construct a blockchain network to achieve transparent data sharing. It is meaningful for both enterprises and consumers. It can let enterprises get the real quality information of rice and related raw materials. Consumers can get the true information of rice and rice products to buy safe and healthy food. The scheme is proved feasible by simulating the traceability of the rice supply chain.

scholarly journals Risk Mitigation of Tobacco Supply Chain: Business Process Model

HABITAT ◽  
2020 ◽  
Vol 31 (3) ◽  
pp. 149-160
Author(s):  
Silvana Maulidah
Keyword(s):  
Supply Chain ◽  
Business Process ◽  
Process Model ◽  
Reference Model ◽  
Raw Materials ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Business Process Model ◽  
Supply Chain Risk ◽  
Product Price

Tobacco and its industrial products are a massive business in international trade. As a potential agro-industry, the tobacco products industry requires a supply of raw materials that must meet quantity, quality and continuity. The complexity of the tobacco supply chain network and the rapidly changing world business dynamics, pose risks in its business processes. An optimal supply chain risk mitigation or risk management strategy needs for the resilience of the tobacco supply chain in the disruption. The purpose of this study is to analyze the level of risk priority and also to formulate a risk mitigation strategy for the tobacco supply chain through a business process model approach. The method of analysis is the Delphy method and the House of Risk (HoR). The business process adopted from the SCOR (Supply Chain Operations Reference) model. The results showed: the priority level of tobacco supply chain risk is: economic uncertainty, tobacco is not available at the farm level, the location of tobacco raw materials is far from production activities, product prices have risen due to customs and product demand has increased sharply. Supply chain risk of mitigation strategies includes: increasing the flow of information in the tobacco supply chain, managing the stock/supply of tobacco raw materials and processed products, evaluating distributor selection, establishing partnerships with tobacco farmers, implementing a marketing mix strategy (product, price, location, promotion), increasing coordination with relevant governments, and management of information systems and technology.

Logistics in Emerging Markets

2020 ◽  
Author(s):  
Adegoke Oke ◽  
Arnie Maltz
Keyword(s):  
Supply Chain ◽  
Emerging Markets ◽  
Global Economy ◽  
Raw Materials ◽  
Case Examples ◽  
Goods And Services ◽  
Success Stories ◽  
Global Commerce ◽  
Production And Distribution ◽  
Insufficient Knowledge

The world has become flatter and supply chains have become globally interconnected; efficient cross-border and cross-national supply, production, and distribution of goods and services has become an imperative for global firms. Emerging markets play a major role in the global economy as sources of raw materials, producers of finished goods, and potential markets for goods and services. The efficacy of logistics and supply chain activities is crucial to facilitating global commerce. Yet, there is insufficient knowledge of the intricacies of logistics and supply chain operations in emerging markets in the mainstream supply chain literature. This chapter draws from various literature sources and case examples to discuss logistics challenges and success stories of logistics operations in emerging markets. We contextualize our investigation within the framework of economic, political, infrastructure, competency, and social–cultural factors as they relate to and influence logistics operations in emerging markets. We conclude the chapter by discussing imminent challenges that are yet to be overcome as well as potential opportunities to improve logistics and supply chain operations in emerging markets in the future.

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