scholarly journals An Investigation of the Impact of Assembly Sequencing on the Product Family Design Outcomes

2007 ◽  
Author(s):  
Shafin Tauhid ◽  
Hakan U. Artar ◽  
Saraj Gupta ◽  
Gu¨l Okudan
Keyword(s):  
Decision Making ◽  
Simulation Study ◽  
Product Family ◽  
Shop Floor ◽  
Design Decision ◽  
Product Family Design ◽  
Floor Level ◽  
And Performance ◽  
The Impact

While many approaches have been proposed to optimize the product family design for measures of cost, revenue and performance, many of these approaches fail to incorporate the complexity of the manufacturing issues into family design decision-making. One of these issues is assembly sequencing. This paper presents a simulation study by which the impact of assembly sequencing on the product family design outcomes is investigated. Overall, the results indicate that when the product family design takes into account the assembly sequencing decisions, the outcomes at the shop floor level improve. The results have implications for companies that are looking into increasing their revenue without increasing their investment in the shop floor.

An Investigation of Impact of the Product Family Design on the Shop Floor Performance

2008 ◽  
Author(s):  
Hakan U. Artar ◽  
Gu¨l Okudan
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Product Family ◽  
Shop Floor ◽  
Design Decision ◽  
Product Family Design ◽  
Computer Simulation Study ◽  
Family Case ◽  
And Performance ◽  
The Impact

While many approaches have been proposed to optimize the product family design for measures of cost, revenue and performance, many of these approaches fail to incorporate the complexity of the manufacturing issues into family design decision-making. One of these issues is different approaches for assembly sequencing. This paper presents a computer simulation study by which the impact of two postponement strategies is investigated for a real-life product family case under various demand conditions. Overall, the results indicate that when the product family design takes into account the assembly sequencing decisions, the outcomes at the shop floor level improve. The results have implications for companies that are looking into increasing their revenue without increasing their investment in the shop floor.

Team Cognition, Collective Efficacy, and Performance in Strategic Decision-Making Teams

2012 ◽  
Vol 40 (3) ◽  
pp. 381-394 ◽  
Author(s):  
Huey-Wen Chou ◽  
Yu-Hsun Lin ◽  
Shyan-Bin Chou
Keyword(s):  
Decision Making ◽  
Collective Efficacy ◽  
Team Performance ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Team Cognition ◽  
Mediating Role ◽  
Collective Mind ◽  
And Performance ◽  
The Impact

With the growing use of teamwork for strategic decision making in organizations, an understanding of the teamwork dynamics in the strategic decision-making process is critical for both researchers and practitioners. By conceptualizing team cognition in terms of a transactive memory system (TMS) and collective mind, in this study we explored the relationships among TMS, collective mind, and collective efficacy and the impact of these variables on team performance. Longitudinal data collected from 98 undergraduates were analyzed. Neither the TMS–team performance relationship nor the collective mind–team performance relationship was significant. Collective efficacy was found to play a mediating role in such relationships. We concluded that team cognition with collective efficacy is beneficial for understanding teamwork dynamics in strategic decision making.

Assembly Hierarchy Generation for Assembly System Design for a Product Family

2016 ◽  
Author(s):  
Zhengqian Jiang ◽  
Hui Wang
Keyword(s):  
Modular Design ◽  
Recursive Algorithm ◽  
Product Family ◽  
Graph Model ◽  
Product Variety ◽  
Assembly System ◽  
Product Family Design ◽  
Flexible Assembly ◽  
The Impact ◽  
Hierarchy Generation

Increased demand on product variety entails a flexible assembly system for product families which can be quickly configured and reconfigured in a responsive manner to deal with various product designs. Development of such a responsive assembly system requires an in-depth understanding of the impact of product family design on assembly system performance. In this paper, the linkage between the product family design and assembly systems is characterized by an assembly hierarchy model, which reflects a hierarchical relationship among all possible sub-assemblies and components, assembly tasks, and material flow among the tasks. Our prior research developed a recursive algorithm to generate all assembly hierarchy candidates for one single product based on its liaison graph without redundancy. These generated assembly hierarchies provide a structure to help efficiently explore optimal assembly system designs with reduced computational load. In this paper, the application of the assembly hierarchy generation algorithm will be extended to a product family by developing joint liaison graph model. Taking the advantage of the modular design of the product family, we proposed a concept of multi-level joint liaison graphs to overcome the computational challenge brought by assembly hierarchy generation for joint liaisons. Two case studies were conducted to demonstrate the algorithm.

scholarly journals Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

2021 ◽  
Author(s):  
Ilya Kovalenko ◽  
Efe Balta ◽  
Dawn Tilbury ◽  
Kira Barton
Keyword(s):  
Decision Making ◽  
Control Strategy ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Timed Automata ◽  
Shop Floor ◽  
Intelligent Software ◽  
Multi Agent ◽  
Agent Control ◽  
And Performance

Due to the advancements in manufacturing system technology and the ever-increasing demand for personalized products, there is a growing desire to improve the flexibility of manufacturing systems. Multi-agent control is one strategy that has been proposed to address this challenge. The multi-agent control strategy relies on the decision making and cooperation of a number of intelligent software agents to control and coordinate various components on the shop floor. One of the most important agents for this control strategy is the product agent, which is the decision maker for a single part in the manufacturing system. To improve the flexibility and adaptability of the product agent and its control strategy, this work proposes a direct and active cooperation framework for the product agent. The directly and actively cooperating product agent can identify and actively negotiate scheduling constraints with other agents in the system. A new modeling formalism, based on priced timed automata, and an optimization-based decision making strategy are proposed as part of the framework. Two simulation case studies showcase how direct and active cooperation can be used to improve the flexibility and performance of manufacturing systems.

scholarly journals Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

2021 ◽  
Author(s):  
Ilya Kovalenko ◽  
Efe Balta ◽  
Dawn Tilbury ◽  
Kira Barton
Keyword(s):  
Decision Making ◽  
Control Strategy ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Timed Automata ◽  
Shop Floor ◽  
Intelligent Software ◽  
Multi Agent ◽  
Agent Control ◽  
And Performance

Due to the advancements in manufacturing system technology and the ever-increasing demand for personalized products, there is a growing desire to improve the flexibility of manufacturing systems. Multi-agent control is one strategy that has been proposed to address this challenge. The multi-agent control strategy relies on the decision making and cooperation of a number of intelligent software agents to control and coordinate various components on the shop floor. One of the most important agents for this control strategy is the product agent, which is the decision maker for a single part in the manufacturing system. To improve the flexibility and adaptability of the product agent and its control strategy, this work proposes a direct and active cooperation framework for the product agent. The directly and actively cooperating product agent can identify and actively negotiate scheduling constraints with other agents in the system. A new modeling formalism, based on priced timed automata, and an optimization-based decision making strategy are proposed as part of the framework. Two simulation case studies showcase how direct and active cooperation can be used to improve the flexibility and performance of manufacturing systems.

scholarly journals Performance Analysis of a Kitting Process as a Paired Queue

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
E. De Cuypere ◽  
K. De Turck ◽  
D. Fiems
Keyword(s):  
Manufacturing System ◽  
Sparse Matrix ◽  
Shop Floor ◽  
Product Assortment ◽  
Profit Analysis ◽  
Phase Type ◽  
Assembly Unit ◽  
Sparse Matrix Techniques ◽  
And Performance ◽  
The Impact

Nowadays, customers request more variation in a company’s product assortment leading to an increased amount of parts moving around on the shop floor. To cope with this tendency, a kitting process can be implemented. Kitting is the operation of collecting the necessary parts for a given end product in a specific container, called a kit, prior to arriving at an assembly unit. As kitting performance is critical to the overall cost and performance of the manufacturing system, this paper analyses a two-part kitting process as a Markovian model. In particular, kitting is studied as a paired queue, thereby accounting for stochastic part arrivals, and kit assembly times. Using sparse matrix techniques, we assess the impact of kitting interruptions, bursty part arrivals and phase-type distributed kit assembly times on the behaviour of the part buffers. Finally, a cost-profit analysis of kitting processes is conducted and an approximation for a two-part kitting process is established.

scholarly journals The Impact of Nonlinear Pedagogy on Decision-Making and Execution in Youth Soccer Players According to Game Actions

2018 ◽  
Vol 62 (1) ◽  
pp. 185-198 ◽  
Author(s):  
Alba Práxedes ◽  
Fernando Del Villar ◽  
David Pizarro ◽  
Alberto Moreno
Keyword(s):  
Decision Making ◽  
Soccer Players ◽  
Teaching Program ◽  
Evaluation Tool ◽  
Youth Soccer ◽  
Two Phases ◽  
And Performance ◽  
Play Action ◽  
The Impact ◽  
Game Performance

AbstractThe aim of this study was to analyze the effect of a teaching program, based on Non-Linear Pedagogy, on decision-making and performance in youth soccer players as a function of the type of play action. Our participants were 19 players from the U12 age category. The teaching program, which was based on the application of modified games characterized by a numerical superiority in attack, was used for 14 training sessions. This program was conducted in two phases (preparation-for-intervention and intervention). Decision-making and execution for pass and dribbling actions were evaluated through the Game Performance Evaluation Tool. The results showed significant differences in favour of the experimental group in decision-making (p < .000) and the execution of passes (p = .003) after the intervention. However, such differences were not found for dribbling (decision-making, p = .402 and execution, p = .143). These findings demonstrate the effectiveness of this type of program for teaching actions with a high tactical component, such as the pass, and a different approach must be considered in actions with a high technical component, such as dribbling. It is necessary to continue developing studies in this line to clarify these issues.

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