The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Manocher Djassemi - One of the best experts on this subject based on the ideXlab platform.

  • Determination of a Flexibility Range for Cellular Manufacturing Systems under Product Mix Variations
    International Journal of Production Research, 1997
    Co-Authors: Hamid Seifoddini, Manocher Djassemi
    Abstract:

    One of the underlying assumptions in Cellular Manufacturing is that product mix is relatively stable over time. In this paper, a procedure for the sensitivity analysis of the performance of a Cellular Manufacturing system with respect to changes in the product mix is presented and a flexibility range representing the capability of the system in dealing with these changes is determined using simulation modelling. The simulation results in this study show that as the changes in the product mix increase the superiority of the performance of the Cellular Manufacturing system to the corresponding job shop system diminishes.

  • The threshold value of a quality index for formation of Cellular Manufacturing systems
    International Journal of Production Research, 1996
    Co-Authors: Hamid Seifoddini, Manocher Djassemi
    Abstract:

    The superiority of Cellular Manufacturing to job shop Manufacturing has been questioned by a number of simulation studies. The initial structure of the machine-part matrix seems to play an important role in the failure of Cellular Manufacturing systems in these studies. In this paper a grouping measure called ‘quality index— QI’ will be used to evaluate the relationship between the quality of a machine-part matrix and the performance of the corresponding Cellular Manufacturing system. A simulation study will be conducted to demonstrate how the procedure can be used to determine the threshold value for QI beyond which the Cellular Manufacturing system outperforms the corresponding job shop Manufacturing system.

Hamid Seifoddini - One of the best experts on this subject based on the ideXlab platform.

  • The development of a Cellular Manufacturing system for automotive parts
    1997
    Co-Authors: Adelina Castillo, Hamid Seifoddini, Jeffrey Abell
    Abstract:

    The similarity of coefficient method, simulation modeling, and computer-aided layout design are employed to develop, implement, and evaluate a Cellular Manufacturing system for the production of automotive parts for car seats.

  • Determination of a Flexibility Range for Cellular Manufacturing Systems under Product Mix Variations
    International Journal of Production Research, 1997
    Co-Authors: Hamid Seifoddini, Manocher Djassemi
    Abstract:

    One of the underlying assumptions in Cellular Manufacturing is that product mix is relatively stable over time. In this paper, a procedure for the sensitivity analysis of the performance of a Cellular Manufacturing system with respect to changes in the product mix is presented and a flexibility range representing the capability of the system in dealing with these changes is determined using simulation modelling. The simulation results in this study show that as the changes in the product mix increase the superiority of the performance of the Cellular Manufacturing system to the corresponding job shop system diminishes.

  • The threshold value of a quality index for formation of Cellular Manufacturing systems
    International Journal of Production Research, 1996
    Co-Authors: Hamid Seifoddini, Manocher Djassemi
    Abstract:

    The superiority of Cellular Manufacturing to job shop Manufacturing has been questioned by a number of simulation studies. The initial structure of the machine-part matrix seems to play an important role in the failure of Cellular Manufacturing systems in these studies. In this paper a grouping measure called ‘quality index— QI’ will be used to evaluate the relationship between the quality of a machine-part matrix and the performance of the corresponding Cellular Manufacturing system. A simulation study will be conducted to demonstrate how the procedure can be used to determine the threshold value for QI beyond which the Cellular Manufacturing system outperforms the corresponding job shop Manufacturing system.

  • Improving the performance of Cellular Manufacturing by a dynamic part assignment approach
    Computers & Industrial Engineering, 1996
    Co-Authors: Hamid Seifoddini, Manoocher Djassemi
    Abstract:

    In this paper, a simple dynamic part assignment (DPA) procedure is introduced and its effects on the performance of Cellular Manufacturing systems is evaluated. In this procedure rerouting of parts among machine cells is allowed for better machine utilization. Three data sets are used to compare the performance of Manufacturing systems under job shop and Cellular Manufacturing when DPA is employed. The results of simulation runs indicate that the proposed DPA method improves the performance of Cellular Manufacturing significantly by reducing the congestion in machine cells with long waiting lines.

Soumen Ghosh - One of the best experts on this subject based on the ideXlab platform.

  • Cellular Manufacturing using virtual cells
    International Journal of Operations & Production Management, 1996
    Co-Authors: Vijay R. Kannan, Soumen Ghosh
    Abstract:

    Proposes a virtual Cellular Manufacturing approach to implementing Cellular Manufacturing systems that combines the set‐up efficiency typically obtained by traditional Cellular Manufacturing or group technology systems with the flexibility of a job shop. Unlike traditional Cellular systems in which the shop is physically designed as a series of cells, cells are formed within a shop utilizing a process layout using scheduling mechanisms. The result is the formation of cells that are temporary and logical (virtual) in nature, allowing them to be more responsive to changes in demand patterns. Simulation runs comparing this approach to production using traditional Cellular and job shop approaches indicate that this new approach yields significantly better shop performance over a range of operating conditions.

  • A Virtual Cellular Manufacturing Approach to Batch Production
    Decision Sciences, 1996
    Co-Authors: Vijay R. Kannan, Soumen Ghosh
    Abstract:

    In this paper, Virtual Cellular Manufacturing (VCM), an alternative approach to implementing Cellular Manufacturing, is investigated. VCM combines the setup efficiency typically obtained by Group Technology (GT) Cellular Manufacturing (CM) systems with the routing flexibility of a job shop. Unlike traditional CM systems in which the shop is physically designed as a series of cells, family-based scheduling criteria are used to form logical cells within a shop using a process layout. The result is the formation of temporary, virtual cells as opposed to the more traditional, permanent, physical cells present in GT systems. Virtual cells allow the shop to be more responsive to changes in demand and workload patterns. Production using VCM is compared to production using traditional Cellular and job shop approaches. Results indicate that VCM yields significantly better flow time and due date performance over a wide range of common operating conditions, as well as being more robust to demand variability.

Nanua Singh - One of the best experts on this subject based on the ideXlab platform.

  • Cellular Manufacturing Systems: Design, planning and control
    1996
    Co-Authors: Nanua Singh, Divakar Rajamani
    Abstract:

    Introduction. Part-family formation: coding and classification Part-machine group analysis: methods for cell formation. Similarity coefficient-based clustering: methods for cell formation. Mathematical programming and graph theoretic methods for cell formation. Novel methods for cell formation. Other mathematical programming methods for cell formation. Layout planning in Cellular Manufacturing. Production planning in Cellular Manufacturing. Control of Cellular flexible Manufacturing systems. Index.

  • Production Planning in Cellular Manufacturing
    Cellular Manufacturing Systems, 1996
    Co-Authors: Nanua Singh, Divakar Rajamani
    Abstract:

    Formation of cells is an important aspect of Cellular Manufacturing systems. Once the cells are formed, production planning is the next core activity to realize the benefits of cells. Production planning is concerned with establishing production goals over the planning horizon. The main objective of production planning in any organization is to ensure that the desired products are manufactured at the right time, in the right quantities, meeting quality specifications at minimum cost. A lot of information is required to develop a production plan. This input can then be transformed, using planning tools and techniques, into desirable outputs, that is the production planning process can be conceived as a transformation process in an input—output system framework. Johnson and Montgomery (1974) advocated input—output concepts which are equally valid in a Cellular Manufacturing environment. These concepts are adopted here with suitable modifications where necessary.

  • Design of Cellular Manufacturing systems: An invited review
    European Journal of Operational Research, 1993
    Co-Authors: Nanua Singh
    Abstract:

    Abstract In this paper we provide a concise review of the literature on cell formation aspects of design of Cellular Manufacturing systems. The usefulness and limitations of existing approaches are identified. Future research directions are explored considering Manufacturing requirements.

  • Design of Cellular Manufacturing systems with refixturing and material handling considerations
    Applied Stochastic Models and Data Analysis, 1993
    Co-Authors: V. Damodaran, Nanua Singh, R. S. Lashkari
    Abstract:

    Refixturing and material handling aspects of Cellular Manufacturing systems are considered. For this purpose, two mathematical models are developed to determine machine groups and the assignment of part operations to machines. The first model is used simultaneously to assign operations of parts to machines and form machine groups. The second model is developed for the situation when new machines are procured for a Cellular Manufacturing environment. Examples are included to illustrate the applications of the models.

M. Bulent Durmusoglu - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of the conversion from a job shop system to a Cellular Manufacturing system
    International Journal of Production Economics, 1993
    Co-Authors: M. Bulent Durmusoglu
    Abstract:

    Abstract Cellular Manufacturing System is an efficient Manufacturing system which can be directly integrated with the production functions. However the conversion from an existing job shop system to a Cellular Manufacturing system is a huge job. In this study, modelling and economic analysis of this conversion are performed in order to justify the Cellular Manufacturing system. A selected real life Manufacturing system operating under job shop system conditions is designed as ten cells. This new system and the existing system are modelled and simulated by SIMAN. Then an economic analysis is performed using the simulation results. Inventory carrying cost and machine and materials handling equipment duplication costs are primarily considered in this economic analysis.