Thesis (M.S.)--Ohio University, November, 2004. / Title from PDF t.p. Includes bibliographical references (p. 93-108)

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by Arnoldo C. Hax and Harlan C. Meal. / Bibliography: leaves 20-21.

The Master’s thesis analyses the production planning in chosen company. Theoretical part focuses on terms, which are necessary to understand to deal with the issue of production planning. The practical part contains an analysis of the current state of production planning in the company, designs and their benefits to improve in this area.

This thesis deals with adding planning to the current information system as requirement by the company. The theoretical part describes the methodes of information systems for the production plan. These tools are mostly general and trying to cover the entire spectrum of manufacturing processes. The practical part is devoted to implementing of the produciton planning. The modul planning is incorporated into the current information system.The modul planning has been implementing for efficiency of the systemand faster throughput of the orders the company.

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The job shop scheduling problem, in which we must determine the order or sequence for processing a set of jobs through several machines in an optimum manner, has received considerable attention. In this paper a number of the methods and techniques are reviewed and an attempt to categorize them according to their appropriateness for effective use in job shop scheduling has been made. Approaches are classified in two categories: a) analytical techniques and b) graphical methods. Also, it should be noticed that this report does not include all the attempts and trials, especially the heuristic approaches.

JS McMillan Fisheries Ltd. (JSM) is a Vancouver-based company with operations in nearly all levels of the commercial fishing industry, from supply through distribution. The heart of the operation is the processing facilities where freshly caught Pacific salmon are prepared for sale to end consumers and institutional buyers. As the operations of JSM evolved, the decision making for allocating a catch of salmon with varying characteristics amongst a set of final products has become too complex and time consuming. The focus of this study is to determine an effective and efficient method for JSM to allocate daily a fresh salmon harvest between the various products they produce on a daily basis. The goal is short-term production planning, to allocate the catch among the products in such a manner that the profit potential of the catch is maximized, i.e. prepare a production schedule that maximizes the total profit over the planning horizon. Additional goals of this project include: automation of the decision making process for the catch allocation, "what if" planning, decreasing expert dependency, reducing decision making time, and building a practical and innovative decision support tool. In order to solve this problem efficiently and effectively, optimization models were developed for allocating the catch to the end products. A corresponding decision support tool was built for the end-users at JSM.

Įmonėje, kurioje dirbu, buvo pastebėta jog pasitaiko gamybos planavimo klaidų ir nepakankamai išnaudojami turimi ištekliai. Buvo nuspręsta diegti gamybos planavimo sistemą. Buvo rinktasi iš dviejų variantų: įsigyti gamybos planavimo sistemą arba kurtis ją patiems. Buvo iškelti tam tikri reikalavimai, kuriuos turi atitikti ieškoma gamybos planavimo sistema. Taigi, šio darbo tikslas – rasti gamybos planavimo sprendimą, atitinkantį reikalavimus, jį įdiegti ir įvertinti gautus rezultatus. Tikslui pasiekti reikėjo atlikti tokius uždavinius: - Išanalizuoti rinkoje esančias sistemas - Radus tinkamą ją įdiegti įmonėje. Tinkamos neradus susikurti ją patiems. - Palyginti gamybos rodiklius, kuriuos gali įtakoti gamybos planavimo sistema prieš ir po sistemos diegimo. Darbe yra apžvelgtos gamybos planavimo sistemos, jų veikimo principai. Kadangi rinkoje nebuvo rasta visus iškeltus reikalavimus atitinkanti sistema, buvo nuspręsta ją kurtis patiems. Sistema buvo sukurta ir sėkmingai įdiegta. Taip pat buvo išanalizuoti įmonės veiklos rodikliai, kuriuos gali įtakoti gamybos planavimo sistema, prieš ir po gamybos planavimo sistemos diegimo. Įdiegus gamybos planavimo sistemą visiškai išnyko planavimo klaidos, pradėta efektyviau naudoti turimus išteklius, bei sumažintas darbuotojų skaičius planavimo skyriuje nuo 3 iki 1 darbuotojo. / In my company sometimes appear some mistakes in production planning. Some resources were used in not effective way. There was a decision to install production planning system. There were two opportunities: to buy or to create production planning system. There were some requirements for that system. So the goal was to find production planning system which satisfy all requirements. To realize the goal need to do: - To analyze production planning systems in the market - If found correct system then install it, if not, create production planning system - To compare production indexes before installing production planning system and after that In this article there is comparison of production planning systems in the market. There was not found correct system in the market so decision was to create our own production planning system. The system was created, tested and installed successfully. After installation of production planning system production mistakes disappear, was started more effective usage of production resources and in planning department left only one worker instead of three.