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  • 1
    Electronic Resource
    Electronic Resource
    Enterprise agility: a view from the PRISM lab (1999)
    Bingley : Emerald
    International journal of agile management systems 1 (1999), S. 51-60 
    Details
    ISSN: 1465-4652
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Technology
    Notes: The agility of enterprises is analyzed in this article from two perspectives: business and organizational agility, and operational and logistics agility. Because of the powerful support of information technologies, mainly AI and networking, companies can seek collaborators to accomplish complex customers' requirements without investing to expand their own capacity. The emerging alliances of enterprises are virtually formed for various customers' and markets' needs. This concept sustains business and organizational agility. In terms of operational and logistics agility, this article suggests that the connection between the autonomy functions and agility requires further study. Our research has proposed that error detection and recovery, and conflict resolution are two significant functions of operational and logistics agility, and determine the expected benefits from the business and organizational agility. The link between a given enterprise flexibility and agility is also analyzed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/14654659910266736
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  • 2
    Electronic Resource
    Electronic Resource
    Distributed planning of collaborative production (1993)
    Springer
    The international journal of advanced manufacturing technology 8 (1993), S. 258-268 
    Details
    ISSN: 1433-3015
    Keywords: Assembly planning ; Distributed planning ; Game theoretic planning ; Human-computer interaction ; Integration of human/machine intelligence ; Neural networks
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract Collaborative production is viewed in two related dimensions: collaboration among machines to achieve increased reliability, quality and productivity; and collaboration between machines and human supervisors to combine internal and global control information. A structure, combining centralised planning and human-machine integration, is developed for distributed planning of such collaborative production. The centralised planning relies on game-theoretic optimisation techniques supported by knowledge-based rules for coalition formation of cooperating production operations. The product of the centralised planner is a general, common production plan. The feasibility of this model is demonstrated mathematically. If the centralised planner cannot reach a solution, then human input is sought. For integrating the human and machine knowledge to reach effective solutions, a neural network model is demonstrated. A simulation demonstrates that the distributed human and machine inputs can be combined under this framework. Such a distributed planning structure can overcome the major difficulties encountered in computerised production systems that seek full automation.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01748636
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  • 3
    Electronic Resource
    Electronic Resource
    The multiple-robot assembly plan problem (1993)
    Springer
    Journal of intelligent and robotic systems 7 (1993), S. 57-71 
    Details
    ISSN: 1573-0409
    Keywords: Assembly ; planning ; multi-robot systems ; optimization ; task allocation ; cooperation ; kitting ; heuristics ; cell design ; m-traveling salesmen problem
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract In previous research, we defined, classified, and solved the robotic assembly plan problem for a single assembly robot. In this paper, we formulate this problem for the case of multiple, cooperating assembly robots. The problem now includes the allocation of assembly tasks among multiple robots.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01258212
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  • 4
    Electronic Resource
    Electronic Resource
    Cooperation Requirements Planning (CRP) for multiprocessors: Optimal assignment and execution planning (1996)
    Springer
    Journal of intelligent and robotic systems 15 (1996), S. 419-435 
    Details
    ISSN: 1573-0409
    Keywords: Integration ; coordination ; multi-robot systems
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract Cooperation is considered an essential attribute of intelligent multi-machine systems. It enhances their flexibility and reliability. Cooperation Requirement Planning (CRP) is the process of generating a consistent and coordinated global execution plan for a set of tasks to be completed by a multi-machine system based on the task cooperation requirements and interactions. CRP is divided into two steps: CRP-I which matches the task requirements to machine and system capabilities to generate cooperation requirements. It also generates task precedence, machine operation, and system resource constraints. CRP-II uses the cooperation requirements and various constraints to generate a task assignment and coordinated and consistent global execution plan. The global execution plan specifies an ordered sequence of actions and the machine sets that execute them such that the assigned tasks are successfully completed, all the constraints are resolved, and the desired performance measure optimized. In this paper, we describe the CRP-II methodology based on the concepts of planning for multiple goals with interactions. Each task is considered to be a goal, and the CRP-I process is viewed as generating alternate plans and associated costs to accomplish each goal. Five different interactions are specified between the various plans: action combination, precedence relation, resource sharing, cooperative action, and independent action. The CRP-II process is viewed as selecting a plan to satisfy each goal and resolving the interactions between them. A planning strategy is proposed which performs plan selection and interaction resolution simultaneously using a best-first search process to generate the optimal global plan.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00437605
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  • 5
    Electronic Resource
    Electronic Resource
    Sensor economy principles and selection procedures (2000)
    Springer
    IIE transactions 32 (2000), S. 195-203 
    Details
    ISSN: 1573-9724
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract Integrating multiple sensors into manufacturing systems enables adaptive and flexible automation and increases process adaptivity and quality control. The design of an optimum configuration must be based on a systematic analysis relative to operational and economic considerations. This design should include an evaluation of sensor performance, a decision on how many sensors, of which type they should be, and where to locate them, modes of sensor interaction, and the influence on overall performance based on a cost/benefit analysis. In most real-world applications it is impossible to develop an accurate model to predict sensor performance and therefore, performance must be derived empirically but in a systematic manner. This paper presents research and development of integrated sensor economy principles and selection procedures in addition to a performance assessment model. A systems engineering approach is applied for empirical investigations for assessment of alternative guidance systems. The outcome of this research is a set of general design guidelines for integrating multiple sensors into robotic manufacturing systems.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1007638312890
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  • 6
    Electronic Resource
    Electronic Resource
    A formalism to structure and parallelize the integration of cooperative engineering design tasks (1997)
    Springer
    IIE transactions 30 (1997), S. 1-15 
    Details
    ISSN: 1573-9724
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract To be truly effective, designers working in a distributed environment need to spend less effort on integration of their ideas and work and more on the actual design task. However, the distributed, sequential, and iterative nature of the process typically results in wasted resources and long lead times. The purpose of this research is the development of parallelism models for the configuration of design tasks to accomplish the most effective integration in a distributed environment. The analogy to parallel computing is described. Four dependence primitives are compared and a new one, codependence, is defined. Six types of integration function are defined. A new representation called IDM (iterative design model) is developed and explained relative to product design tasks. Advantages of IDM compared with previous approaches are also discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1007463010684
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  • 7
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    Strategic lines of collaboration in response to disruption propagation (CRDP) through cyber-physical systems (2020)
    Elsevier
    Details
    Publication Date: 2020-12-01
    Print ISSN: 0925-5273
    Electronic ISSN: 1873-7579
    Topics: Technology , Economics
    Published by Elsevier
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  • 8
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    Collaborative e-work and e-manufacturing: challenges for production and logistics managers (2006)
    Springer
    Details
    Publication Date: 2006-12-01
    Print ISSN: 0956-5515
    Electronic ISSN: 1572-8145
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by Springer
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  • 9
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    Collaborative e-work parallelism in supply decisions networks: the chemical dimension (2015)
    Springer
    Details
    Publication Date: 2015-02-25
    Print ISSN: 0956-5515
    Electronic ISSN: 1572-8145
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by Springer
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  • 10
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    Dynamic storage assignment with product affinity and ABC classification—a case study (2015)
    Springer
    Details
    Publication Date: 2015-09-25
    Print ISSN: 0268-3768
    Electronic ISSN: 1433-3015
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by Springer
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