• Title/Summary/Keyword: work schedules

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Line Balancing for the Mixed Model Assembly Line Considering Processing Time and Physical Workloads (작업시간과 육체적인 작업부하를 고려한 혼합모델 조립공정의 라인밸런싱)

  • Moon, Sung-Min;Kwon, Keun-Seob;Choi, Gyung-Hyun
    • IE interfaces
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    • v.17 no.3
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    • pp.282-293
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    • 2004
  • Line Balancing is the problem to assign tasks to stations while satisfying some managerial viewpoints. Most researches about the Mixed-Model Line Balancing problems are focused on the minimizing the total processing time or the number of workstations. Independently, some research reports consider the balance issues of the physical workloads on the assembly line. In this paper, we are presenting a new mathematical model to accomplish the line balance considering both the processing time and the workloads at the same time. To this, end, we propose an zero-one integer program problem, and we use the Chebyshev Goal Programming approach as the solution method. Some computational test runs are performed to compare the pay-offs between the processing time and the workloads. And, the test results show us that the reliable balanced work schedules can be obtained through the proposed model.

A Scheduling Scheme for Flexible Flow Shop with Release Date and Due Date (시작시기와 납기를 고려하는 유연흐름공장의 일정계획)

  • Lee, J.H.;Kim, S.S.
    • IE interfaces
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    • v.11 no.3
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    • pp.1-13
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    • 1998
  • This paper addresses a scheduling scheme for Flexible Flow Shop(FFS) in the case that a factory is a sub-plant of an electronic device manufacturing plant. Under this environment, job orders for the sub-plants in the production route are generated together with job processing time bucket when the customer places orders for final product. The processing time bucket for each job is a duration from possible release date to permissible due date. A sub-plant modeled FFS should schedule these jobs orders within time bucket. Viewing a Printed Circuit Board(PCB) assembly line as a FFS, the developed scheme schedules an incoming order along with the orders already placed on the scheduled. The scheme consists of the four steps, 1)assigning operation release date and due date to each work cells in the FFS, 2)job grouping, 3)dispatching and 4)machine allocation. Since the FFS scheduling problem is NP-complete, the logics used are heuristic. Using a real case, we tested the scheme and compared it with the John's algorithm and other dispatching rules.

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Maintenance Staff Scheduling at Afam Power Station

  • Alfares, H.K.;Lilly, M.T.;Emovon, I.
    • Industrial Engineering and Management Systems
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    • v.6 no.1
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    • pp.22-27
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    • 2007
  • This paper describes the optimization of maintenance workforce scheduling at Afam power station in Nigeria. The objective is to determine the optimum schedule to satisfy growing maintenance labour requirements with minimum cost and highest efficiency. Three alternative maintenance workforce schedules are compared. The first alternative is to continue with the traditional five-day workweek schedule currently being practiced by Afam power station maintenance line. The second alternative is to switch to a seven-day workweek schedule for the morning shift only. The third alternative is to use a seven-day workweek schedule for all three work shifts. The third alternative is chosen, as it is expected to save 11% of the maintenance labour cost.

Optimal Design of Silo System for Drying and Storage of Grains (I)-Simulation Modeling with SLAMSYSTEM

  • Chung, Jong-Hoon
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.952-965
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    • 1993
  • A simulation modeling is necessary for the optimal design of a rice processing plant, which consists of a facility (a silo system) of rice drying and storage and a rice mill plant. In a rice processing plant, the production scheduling and the decision on capcity of each unit based on a queuing theory is very important and difficult. In this study a process-oriented simulation model was developed for the design of a rice drying and storage system with SLAMSYSTEM. The simulation model is capable of simulating virtually all the processing activities and provides work schedules which minimize total processing time , mean flow time and bottleneck of the plant system and estimate drying time for a batch in a drying silo. Model results were used for determination the size and capacity of each processing unit and for analyzing the performance of the plant . The developed model was actually applied to construct a grain silo system for rice drying and storage.

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Effect of Debinding Conditions on the Microstructure of Sintered Pb(Mg1/3Nb2/3)O3-PbTiO3

  • Yun Jung-Yeul;Jeon Jae-Ho;L.Kang Suk-Joong
    • Journal of Powder Materials
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    • v.12 no.4 s.51
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    • pp.261-265
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    • 2005
  • In order to fabricate complex-shaped polycrystalline ceramics by sintering, organic binders are usually pre-mixed with ceramic powders to enhance the formability during the shape forming process. These organic binders, however, must be eliminated before sintering so as to eliminate the possibilities of poor densification and unusual grain growth during sintering. The present work studies the effect of binder addition on grain growth behavior during sintering of $92(70Pb(Mg_{1/3}Nb_{2/3})O_3-30PbTiO_3))$-8PbO(mol%) piezoelectric ceramics. The microstructures of the sintered samples were examined for various heating profiles and debinding schedules of the binder removal process. Addition of Polyvinyl butyral(PVB) binder promoted abnormal grain growth especially in incompletely debinded regions. Residual carbon appears to change the grain shape from comer-rounded to faceted and enhance abnormal grain growth.

Development of Simulation Model Based Optimal Start and Stop Control Daily Strategy (시뮬레이션 모델기반 냉난방 설비 일별 최적 기동/정지 제어기법 개발)

  • Lee, Chanwoo;Koo, Junemo
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.14 no.1
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    • pp.16-21
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    • 2018
  • This work aims to develop a platform to investigate the effect of operation schedules on the building energy consumption and to derive a simulation model based optimal start and stop daily strategy. An open-source building energy simulation tool DOE2 is used for the engine, and the developed simulation model is validated using ASHRAE guideline 14. The effect of late-start/early-stop operation of HVAC system on the daily building energy consumption was analyzed using the developed simulation model. It was found that about 10% of energy consumption cut was possible using the control strategy for an hour of advance of the stop operation, and about 3% per an hour of delay of the start operation.

A Dedicated CAM for Welding Automation System in Assembly Line at Shipyards (조선 대조립 용접라인의 CAD/CAM 시스템 적용)

  • Kim, Eun-Jung;Lee, Si-Youl;Kim, Byung-Su;Park, Jin-Hyung;Park, Young-Jun
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.1757-1762
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    • 2003
  • For coping with various ship types easily, welding automation using CAD/CAM is demanded and and developed. In this paper we propose a dedicated CAM system which generates MACRO files to control robot manipulators. The paper contains CAD interface, virtual simulation, macro generation and job schedulling. At first, it defines and extracts weldline from CAD data, and generates proper MACRO programs. And it obtains optimum job schedules. This system removes the manual work, and consequently reduces the overall lead time. And it reduces costs and time for developing robot welding programs. This can be expanded to virtual factory simulation technology. Moreover, it is possible to apply this system for automation of Cutting and Painting

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A JIT Production Scheduling in Multi-Level Parallel Machine Flow Shops (다단계 병렬기계(多段階 竝列機械) 흐름생산에서 JIT 일정계획)

  • Yoo, Chul-Soo;Lee, Young-Woo;Chung, Nam-Kee
    • IE interfaces
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    • v.7 no.3
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    • pp.171-180
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    • 1994
  • Defined is a Multi-level Parallel Machine Flow-Shop (MPMFS) which reflects some real world manufacturing situations. Just-In-Time (JIT) philosophy is applied to the MPMFS scheduling in order to achieve lowering work-in-process inventory level as well as meeting due dates. A schedule generating simulator is developed. The latest start time of each operation is determined by a backward simulation followed by another forward simulation to analyze the schedule feasibility and actual inventory level. Reasonable schedules are available through adjusting some parameters for allowance factors such as set-up times of machines and other environmental changes. The SLAMSYSTEM under Window is employed for this processing with some input/output data handling processes devised under DOS.

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A Simulation Study on a Workload-based Operation Planning Method in Container Terminals

  • Jeong, Yeon-Ho;Kim, Kap-Hwan;Woo, Youn-Ju;Seo, Bo-Hyeon
    • Industrial Engineering and Management Systems
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    • v.11 no.1
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    • pp.103-113
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    • 2012
  • A yard in a container terminal is a temporary storage space before containers are loaded onto the target vessel or delivered to consignees. For improving the utilization of the space in the yard and the efficiency of loading and discharging operations, it is important that operation plans must be carefully constructed in advance. A heuristic method is suggested to solve operation space planning problems considering workloads on handling equipment as well as space availabilities. The operation plans in this paper includes quay crane (QC) schedules and space plans for multiple vessels considering the workload in the container yard of container terminals. This paper evaluates the effectiveness of a space planning method and the performance of a new QC scheduling method using a simulation model.

Systems Engineering Approach to Develop Intelligent Production Planning Scheduling Model linked to Machine and Quality Data (설비 및 품질 데이터 연계 지능형 생산계획 스케줄링 모델 개발을 위한 시스템엔지니어링 접근 방법)

  • Park, Jong Hee;Kim, Jin Young;Hong, Dae Geun
    • Journal of the Korean Society of Systems Engineering
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    • v.17 no.2
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    • pp.1-8
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    • 2021
  • This study proposes a systems engineering approach for the development of an advanced planning & scheduling (APS) system for a cosmetic case manufacturing factory. The APS system makes production plans and schedules based on the injection process, which consists of 27 plastic injection machines in parallel to control recommended inventory of products. The system uses machine operation/failure information and defective product/work-in-process tracking information to support intelligent scheduling. Furthermore, a genetic algorithm model is applied to handle the complexity of heuristic rules and machine/quality constraints in this process. As a result of the development, the recommended inventory compliance rate is improved by scheduling the 30-day production plan for 15 main products.