| 1. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
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Improving the material flow of a manufacturing company via lean, simulation and optimization
- 2017
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Ingår i: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1245-1250
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Konferensbidrag (refereegranskat)abstract
- Companies are continuously working towards system and process improvement to remain competitive in a global market. There are different methods that support companies in the achievement of that goal. This paper presents an innovative process that combines lean, simulation and optimization to improve the material flow of a manufacturing company. A description of each step of the process details the lean tools and principles taken into account, as well as the results achieved by the application of simulation and optimization. The project resulted in an improved layout and material flow that employs an automated guided vehicle. In addition, lean wastes related to transport, inventory levels as well as waiting times were reduced. The utilization of the process that combines lean, simulation and optimization was considered valuable for the success of the project.
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| 2. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
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Lean, simulation and optimization : A maturity model
- 2017
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Ingår i: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1310-1315
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Konferensbidrag (refereegranskat)abstract
- This article presents a maturity model that can be applied to support organizations in identifying their current state and guiding their further development with regard to lean, simulation and optimization. The paper identifies and describes different maturity levels and offers guidelines that explain how organizations can grow from lower to higher levels of maturity. In addition, it attempts to provide the starting point for organizations that have applied lean or are willing to implement it and which may also be considering taking decisions in a more efficient way via simulation and optimization.
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| 3. |
- Larsson, Aron, 1976-, et al.
(författare)
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Agent based simulation of a payment system for resilience assessments
- 2017
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Ingår i: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). - : IEEE. - 9781538609484 - 9781538609491 ; , s. 314-318
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Konferensbidrag (refereegranskat)abstract
- We provide an agent based simulation model of the Swedish payment system. The simulation model is to be used to analyze the consequences of loss of functionality, or disruptions of the payment system for the food and fuel supply chains as well as the bank sector. We propose a gaming simulation approach, using a computer based role playing game, to explore the collaborative responses from the key actors, in order to evoke and facilitate collective resilience.
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| 4. |
- Johansson, Amandus, et al.
(författare)
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Heuristic Approach of Exact Bin-Packing Model
- 2017
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Ingår i: The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). - : IEEE. - 9781538609484 ; , s. 1042-1046
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Konferensbidrag (refereegranskat)abstract
- Bin packing problem has gained a wide interest in academia and in practice since the problems quickly becomes intractable as the problem grows. In this paper two models are compared: one model that generates exact solutions for bin packing problem and one that uses the same fundamental approach on the problem but extended with a heuristic combination of next-fit and a combinational best-fit. The results proves that the heuristic approach has competitive features of linearity as the problem grows, but still with satisfying optimums in the evaluated instances.
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| 5. |
- Zhu, Li, et al.
(författare)
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Key performance indicators for manufacturing operations management in the process industry
- 2018
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Ingår i: 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. - 9781538609484 ; 2017-December, s. 969-973
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Konferensbidrag (refereegranskat)abstract
- The international standard ISO 22400 has defined a set of Key Performance Indicators (KPIs) to evaluate the performance of manufacturing operation. However, the defined KPIs seem to be inspired from the discrete production context, and hence do not automatically fit the process industry context. The process industry is defined as the industry in which the raw material undergoes conversion during a continuous process in order to become finished products. To make the defined KPIs more suitable for evaluating the operational performance in process industry, this paper analyzes the different characteristics of process industry and discrete industry, and proposes a new framework for organizing KPIs in process industry. Some modifications are discussed to make the proposed ISO 22400 KPIs fit to the process industry. Such a study can provide useful ideas for manufacturing engineers and decision-makers to define and measure suitable KPIs for performance evaluation in process industry.
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