An XML-centred approach to creating object-oriented supply chain simulation models

2006 ◽  
Vol 2 (3/4) ◽  
pp. 115 ◽  
Author(s):  
Dean C. Chatfield ◽  
Terry P. Harrison ◽  
Jack C. Hayya
Keyword(s):  
Supply Chain ◽  
Object Oriented ◽  
Simulation Models ◽  
Supply Chain Simulation

SISCO: An object-oriented supply chain simulation system

2006 ◽  
Vol 42 (1) ◽  
pp. 422-434 ◽  
Author(s):  
Dean C. Chatfield ◽  
Terry P. Harrison ◽  
Jack C. Hayya
Keyword(s):  
Supply Chain ◽  
Object Oriented ◽  
Simulation System ◽  
Supply Chain 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.

scholarly journals CONCEPTUAL FRAMEWORK FOR MATERIAL AND INFORMATION FLOW OPTIMISATION IN NATURAL GAS SUPPLY CHAIN

2021 ◽  
Vol 6 (1) ◽  
pp. 63-74
Author(s):  
Davor Dujak ◽  
◽  
Dario Šebalj ◽  
Karolina Kolinska
Keyword(s):  
Supply Chain ◽  
Natural Gas ◽  
Conceptual Framework ◽  
Information Flow ◽  
Fossil Fuel ◽  
Energy Resource ◽  
Simulation Models ◽  
Bullwhip Effect ◽  
Supply Chain Simulation ◽  
Gas Supply

Natural gas is third most used fossil fuel and energy resource in the world, with significant increase in its consumption over last 20 years. As a consequence, research in optimisation of its supply chain processes are becoming increasingly significant. This paper aims to develop conceptual framework for material and information flow optimisation in natural gas supply chain and suggests its future use. Based on previous researches on mapping natural gas supply chain, bullwhip effect in natural gas supply chain and simulation models in natural gas supply chain, paper proposes new conceptual framework for material and information flow optimisation in natural gas supply chain. Results of implementation of this framework in natural gas supply chain of Republic of Croatia are presented with all suggestions for improvement explained. Keywords: natural gas supply chain, simulation model, bullwhip effect

scholarly journals Distributed Approaches to Supply Chain Simulation

2021 ◽  
Vol 31 (4) ◽  
pp. 1-31
Author(s):  
Navonil Mustafee ◽  
Korina Katsaliaki ◽  
Simon J. E. Taylor
Keyword(s):  
Supply Chain ◽  
State Of The Art ◽  
Discrete Event ◽  
Simulation Models ◽  
Event Simulation ◽  
Distributed Decision Making ◽  
Simulation Techniques ◽  
Current State ◽  
Trade Offs ◽  
Supply Chain Simulation

The field of Supply Chain Management (SCM ) is experiencing rapid strides in the use of Industry 4.0 technologies and the conceptualization of new supply chain configurations for online retail, sustainable and green supply chains, and the Circular Economy. Thus, there is an increasing impetus to use simulation techniques such as discrete-event simulation, agent-based simulation, and hybrid simulation in the context of SCM. In conventional supply chain simulation, the underlying constituents of the system like manufacturing, distribution, retail, and logistics processes are often modelled and executed as a single model. Unlike this conventional approach, a distributed supply chain simulation (DSCS) enables the coordinated execution of simulation models using specialist software. To understand the current state-of-the-art of DSCS, this paper presents a methodological review and categorization of literature in DSCS using a framework-based approach. Through a study of over 130 articles, we report on the motivation for using DSCS, the modelling techniques, the underlying distributed computing technologies and middleware, its advantages and a future agenda, and also limitations and trade-offs that may be associated with this approach. The increasing adoption of technologies like Internet-of-Things and Cloud Computing will ensure the availability of both data and models for distributed decision-making, which is likely to enable data-driven DSCS of the future. This review aims to inform organizational stakeholders, simulation researchers and practitioners, distributed systems developers and software vendors, as to the current state-of-the art of DSCS, and which will inform the development of future DSCS using new applied computing approaches.

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