scholarly journals Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 907
Author(s):  
Thomas Vempiliyath ◽  
Maitri Thakur ◽  
Vincent Hargaden
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Atlantic Salmon ◽  
Production Planning ◽  
Planning Process ◽  
Discrete Event ◽  
Hybrid Simulation ◽  
Simulation Software ◽  
Simulation Framework ◽  
Farmed Salmon

The farmed salmon supply chain has a highly complex and integrated structure, where activities occur both in the sea and on land. Due to this complexity, the supply chain needs appropriate decision-support tools to aid the production planning process, which capture the material flows, information flows and behaviours of the decision makers in the chain. This paper proposes a hybrid simulation framework for production planning using the case of the Norwegian Atlantic salmon supply chain. This hybrid simulation comprises agent-based modelling (ABM) to capture the autonomous and interacting decision making behaviour of the supply chain actors, while discrete-event simulation (DES) is employed to model the various production processes within the chain. The simulation is implemented using AnyLogic™ version 8.0 simulation software, using a case study from the Norwegian farmed salmon sector. The proposed modelling framework provides a deeper understanding of the activities in the salmon supply chain, thereby enabling improved decision making.

AFSIM’s pseudo-realtime hybrid simulation software design

2021 ◽  
pp. 154851292098526
Author(s):  
J Scott Thompson ◽  
Douglas D Hodson
Keyword(s):  
Air Force ◽  
Discrete Time ◽  
Software Design ◽  
Research Laboratory ◽  
Discrete Event ◽  
Hybrid Simulation ◽  
Simulation Software ◽  
Human Interaction ◽  
Virtual Simulation ◽  
Air Force Research Laboratory

Simulation approaches generally fall into two categories: discrete time or discrete event. For military modeling and simulation needs, the two approaches typically align with virtual simulation, which implies human interaction with the simulation program, and constructive simulation, which implies no human interaction. The Air Force Research Laboratory develops and distributes AFSIM (Advanced Framework for Simulation, Integration, and Modeling) to a user community that uses both virtual and constructive simulation. This paper documents the software design and primary algorithms that provide AFSIM’s support for both modes, which is termed a hybrid simulation.

Supply Chain Simulation Modeling Using the Supply Chain Operations Reference Model

2003 ◽  
Author(s):  
Jeffrey W. Hermann ◽  
Edward Lin ◽  
Guruprasad Pundoor
Keyword(s):  
Supply Chain ◽  
Simulation Modeling ◽  
Reference Model ◽  
Discrete Event ◽  
Simulation Models ◽  
Supply Chain Performance ◽  
Simulation Framework ◽  
Event Simulation ◽  
Scor Model ◽  
Supply Chain Simulation

Simulation is a very useful tool for predicting supply chain performance. Because there are no standard simulation elements that represent accurately the activities in a supply chain, there exist a variety of approaches for developing supply chain simulation models. To improve this situation, this paper describes a novel supply chain simulation framework that follows the Supply Chain Operations Reference (SCOR) model. This framework has been used for building powerful simulation models that integrate discrete event simulation and spreadsheets. The simulation models are hierarchical and use submodels that capture activities specific to supply chains. The SCOR framework provides a basis for defining the level of detail in a way as to include as many features as possible, while not making them industry specific. This approach enables the reuse of submodels, which reduces development time. The paper describes the implementation of the simulation models and how the submodels interact during execution.

An Application of Multi-Criteria Decision-Making Model for Strategic Outsourcing for Effective Supply-Chain Linkages

2010 ◽  
pp. 707-720
Author(s):  
N.K. Kwat ◽  
Chang Won Lee
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Business Performance ◽  
Planning Process ◽  
Multi Criteria Decision Making ◽  
Supply Chain System ◽  
Factors Affecting ◽  
Planning Strategy ◽  
Outsourcing Strategies ◽  
Decision Making Model

An appropriate outsourcing and supply-chain planning strategy needs to be based on compromise and more objective decision-making procedures. Although factors affecting business performance in manufacturing firms have been explored in the past, focuses are on financial performance and measurement, neglecting intangible and nonfinancial factors in the decision-making planning process. This study presents development of an integrated multi-criteria decision-making (MCDM) model. This model aids in allocating outsourcing and supply-chain resources pertinent to strategic planning by providing a satisfying solution. The model was developed based on the data obtained from a business firm producing intelligent home system devices. This developed model will reinforce a firm’s ongoing outsourcing strategies to meet defined requirements while positioning the supply-chain system to respond to a new growth and innovation.

An Application of Multi-Criteria Decision-Making Model for Strategic Outsourcing for Effective Supply-Chain Linkages

2011 ◽  
pp. 1438-1451
Author(s):  
N. K. Kwak ◽  
Chang Won Lee
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Business Performance ◽  
Planning Process ◽  
Multi Criteria Decision Making ◽  
Supply Chain System ◽  
Factors Affecting ◽  
Planning Strategy ◽  
Outsourcing Strategies ◽  
Decision Making Model

An appropriate outsourcing and supply-chain planning strategy needs to be based on compromise and more objective decision-making procedures. Although factors affecting business performance in manufacturing firms have been explored in the past, focuses are on financial performance and measurement, neglecting intangible and nonfinancial factors in the decision-making planning process. This study presents development of an integrated multi-criteria decision-making (MCDM) model. This model aids in allocating outsourcing and supply-chain resources pertinent to strategic planning by providing a satisfying solution. The model was developed based on the data obtained from a business firm producing intelligent home system devices. This developed model will reinforce a firm’s ongoing outsourcing strategies to meet defined requirements while positioning the supply-chain system to respond to a new growth and innovation.

An Application of Multi-Criteria Decision-Making Model for Strategic Outsourcing for Effective Supply-Chain Linkages

2008 ◽  
pp. 1205-1218
Author(s):  
N. K. Kwak ◽  
Chang Won Lee
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Business Performance ◽  
Planning Process ◽  
Multi Criteria Decision Making ◽  
Supply Chain System ◽  
Factors Affecting ◽  
Planning Strategy ◽  
Outsourcing Strategies ◽  
Decision Making Model

An appropriate outsourcing and supply-chain planning strategy needs to be based on compromise and more objective decision-making procedures. Although factors affecting business performance in manufacturing firms have been explored in the past, focuses are on financial performance and measurement, neglecting intangible and nonfinancial factors in the decision-making planning process. This study presents development of an integrated multi-criteria decision-making (MCDM) model. This model aids in allocating outsourcing and supply-chain resources pertinent to strategic planning by providing a satisfying solution. The model was developed based on the data obtained from a business firm producing intelligent home system devices. This developed model will reinforce a firm’s ongoing outsourcing strategies to meet defined requirements while positioning the supply-chain system to respond to a new growth and innovation.

Designing Supply Chains Using Optimization

2014 ◽  
pp. 726-736
Author(s):  
Jairo R. Montoya-Torres
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Planning Process ◽  
Facility Location Problem ◽  
Optimization Methods ◽  
Chain Management ◽  
Product Flow ◽  
Decision Making Problem ◽  
Definition Of

Part of the planning process in supply chain management consists of finding the best possible configuration, including the definition of product flow from plants to clients (markets) via a set of warehouses. Defining the location of such warehouses is also part of the decision-making problem. This problem is known in the literature as the two-echelon uncapacitated facility location problem (TUFLP) and is known to be NP-hard. This chapter aims at solving this problem using optimization methods baesd on approximate algorithms. Their performance is analyzed using well-known date sets from the academic literature.

Using Discrete-Event Simulation Systems as Support for Production Planning

2015 ◽  
Vol 809-810 ◽  
pp. 1456-1461 ◽  
Author(s):  
Damian Krenczyk ◽  
Malgorzata Olender
Keyword(s):  
Decision Making ◽  
Production Planning ◽  
Production Management ◽  
New Technologies ◽  
Discrete Event ◽  
Simulation Program ◽  
High Tech ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control

In the days of fierce competition, rapid changes and new technologies, production, and above all, production planning and control cannot be implemented in isolation to changes in the market. The ability to quickly adjust to changes, being flexible is now essential for high tech companies. One of the key area of production management, that must continuously evolve by searching for new methods and tools for increasing the efficiency of decision-making process is the area of production planning and control. In solving the problems associated with production planning are increasingly used advanced simulation programs. They support the planners, especially in situations related to changes in the assortment, or the introduction of new products into the market. A practical example of using the simulation program for production planning is presented in the paper. It is shown that an advanced simulation program can be an effective tool used in decision making area. The construction of the model, and performed experiments are crucial for enterprises where among other things punctuality and flexibility are the most important elements. A short time for the results of the simulation allows for quick response and, if necessary, make changes to the model by planners to achieve the best results with the given parameters associated with the required to complete the production orders.

Fault Forecast for Discrete Event Systems Using Probabilistic Automata

2011 ◽  
Vol 467-469 ◽  
pp. 1651-1656
Author(s):  
Yi Sheng Huang ◽  
He Shan Jiang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Probabilistic Automata ◽  
Event Systems ◽  
Risk Criterion ◽  
Risk Decision

This paper proposes an effective way for forecast malfunction risk criterion for discrete event systems (DESs). This work is based on the probabilistic Automata (PA) model and risk decision-making technique, thanks to decision-making can be for the uncertainty. It provides logistical unite maintenance materials procurement to decision-making, reduces costs and creates supply chain greater profits.

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