scholarly journals Routing and schedule simulation of a biomass energy supply chain through SimPy simulation package

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
T.M. Pinho ◽  
J.P. Coelho ◽  
P.M. Oliveira ◽  
B. Oliveira ◽  
A. Marques ◽  
...  
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Discrete Event ◽  
Biomass Energy ◽  
Closed Loop System ◽  
Dynamic Interactions ◽  
Forest Fuels ◽  
Event Model ◽  
Event Based

The optimisation of forest fuels supply chain involves several entities actors, and particularities. To successfully manage these supply chains, efficient tools must be devised with the ability to deal with stakeholders dynamic interactions and to optimize the supply chain performance as a whole while being stable and robust, even in the presence of uncertainties. This work proposes a framework to coordinate different planning levels and event-based models to manage the forest-based supply chain. In particular, with the new methodology, the resilience and flexibility of the biomass supply chain is increased through a closed-loop system based on the system forecasts provided by a discrete-event model. The developed event-based predictive model will be described in detail, explaining its link with the remaining elements. The implemented models and their links within the proposed framework are presented in a case study in Finland and results are shown to illustrate the advantage of the proposed architecture.

Design for a Closed-Loop Supply Chain System With Sensor-Embedded Refrigerators

2019 ◽  
pp. 1-24
Author(s):  
Mehmet Talha Dulman ◽  
Surendra M. Gupta
Keyword(s):  
Supply Chain ◽  
Embedded Systems ◽  
Discrete Event Simulation ◽  
Closed Loop ◽  
Discrete Event ◽  
Supply Chain System ◽  
Event Simulation ◽  
Closed Loop Supply Chains

This chapter presents a methodology to evaluate the benefit of using sensors in closed-loop supply chains. Sensors can be embedded into products to collect helpful information during their use and end-of-life (EOL) phases. This information can subsequently be employed to estimate the remaining lives of components and products and to ensure that proper maintenance is provided to avoid premature failures. The information is also useful in determining the quality of the components and products when planning EOL operations such as disassembly, inspection, and remanufacturing. To statistically illustrate these benefits, discrete event simulation is employed to a case study consisting of regular and sensor-embedded refrigerator systems. A design of experiments study is then employed where experiments are run to compare the two systems. The results reveal that the sensor-embedded systems perform much better than the regular systems in terms of disassembly costs, inspection costs, and EOL profits generated by selling the remanufactured products and components.

Supply chain structures for distributing surplus food

2020 ◽  
Vol 31 (4) ◽  
pp. 865-883
Author(s):  
Caroline Sundgren
Keyword(s):  
Supply Chain ◽  
Service Provider ◽  
Closed Loop ◽  
Food Distribution ◽  
Weak Links ◽  
Content Type ◽  
Different Types ◽  
Multiple Case ◽  
A Chain

PurposeNew actors have emerged in the food supply chain in response to the increased awareness of food waste and the need to distribute surplus food. The purpose of this study is to analyse the different supply chain structures that have emerged to make surplus food available to consumers.Design/methodology/approachThis study adopts a qualitative multiple-case study of three new surplus food actors: a surplus food platform, an online retailer and a surplus food terminal. Data sources included interviews, documentary evidence and participatory observations.FindingsThree different types of actor constellations in surplus food distribution have been identified: a triad, a tetrad and a chain. Both centralised (for ambient products) and decentralised supply chain structures (for chilled products) have emerged. The analysis identified weak links amongst new actors and surplus food suppliers. The new actors have adopted the roles of connector, service provider and logistics service provider and the sub-roles of mediator, auditor and consultant.Originality/valueThis paper contributes to research on closed-loop or circular supply chains for the reuse of products in the context of surplus food distribution.

scholarly journals Approaches to Modeling the Gas-Turbine Maintenance Process

2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Tai-Tuck Yu ◽  
James P. Scanlan ◽  
Richard M. Crowder ◽  
Gary B. Wills
Keyword(s):  
Decision Making ◽  
Gas Turbine ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Event Modeling ◽  
Human Decision ◽  
Event Model ◽  
Discrete Event Model

Discrete-event modeling has long been used for logistics and scheduling problems, while multi-agent modeling closely matches human decision-making process. In this paper, a metric-based comparison between the traditional discrete-event and the emerging agent-based modeling approaches is reported. The case study involved the implementation of two functionally identical models based on a realistic, nontrivial, civil aircraft gas turbine global repair operation. The size, structural complexity, and coupling metrics from the two models were used to gauge the benefits and drawbacks of each modeling paradigm. The agent-based model was significantly better than the discrete-event model in terms of execution times, scalability, understandability, modifiability, and structural flexibility. In contrast, and importantly in an engineering context, the discrete-event model guaranteed predictable and repeatable results and was comparatively easy to test because of its single-threaded operation. However, neither modeling approach on its own possesses all these characteristics nor can each handle the wide range of resolutions and scales frequently encountered in problems exemplified by the case study scenario. It is recognized that agent-based modeling can emulate high-level human decision-making and communication closely while discrete-event modeling provides a good fit for low-level sequential processes such as those found in manufacturing and logistics.

scholarly journals ReCellular Inc: Managing Demand Uncertainty in Closed-Loop Remanufacturing

2021 ◽  
Author(s):  
Akshay Mutha ◽  
Saurabh Bansal ◽  
V. Daniel R. Guide
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Closed Loop ◽  
Learning Experience ◽  
Third Party ◽  
Low Grade ◽  
Optimal Decisions ◽  
Closed Loop Supply Chains ◽  
Specific Factors

The modeling-based case study is useful for two purposes: introduce closed-loop supply chains and highlight and model some of its unique aspects that the traditional newsvendor formulation does not capture. The case focuses on a third-party remanufacturer (3PR) who buys used cellphones in different quality grades in anticipation of demand. Phones in high grade have been used gently—they have a high acquisition cost but low remanufacturing cost. Low-grade phones have been used extensively—they are cheaper to acquire but have a higher remanufacturing cost. Medium-grade phones have intermediate acquisition and remanufacturing costs. The 3PR needs to trade off these two costs and determine which grade(s) of used phones to buy. The 3PR restores all phones to the same like-new standard during remanufacturing. Extensive use of the case in supply chain management courses shows that in the absence of a mathematical model, students systematically deviate from the optimal decisions because of contextual features. Overall, students believed the case was challenging and that it provides a valuable learning experience, both as an exposure to the closed-loop supply chain domain as well as developing models with industry-specific factors.

scholarly journals Designing a Closed-loop Supply Chain Network Considering Social Factors; A Case Study on Avocado Industry

2022 ◽  
Vol 101 ◽  
pp. 600-631
Author(s):  
Amirhossein Salehi-Amiri ◽  
Ali Zahedi ◽  
Fatemeh Gholian-Jouybari ◽  
Ericka Zulema Rodríguez Calvo ◽  
Mostafa Hajiaghaei-Keshteli
Keyword(s):  
Supply Chain ◽  
Social Factors ◽  
Closed Loop ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain
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