Aggregate Planning

Aggregate Planning - IELM 310 Aggregate Planning Date...

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Date Dieser Bericht ist ausschließlich für Mitarbeiter des Klienten bestimmt. Die Verteilung, Zitierung und Vervielfältigung – auch auszugsweise – zum Zwecke der Weitergabe an Dritte ist nur mit vorheriger schriftlicher Zustimmung von McKinsey & Company, Inc., gestattet. Die hier zusammengefassten Texte und Grafiken wurden von McKinsey & Company, Inc., im Rahmen einer Präsentation eingesetzt; sie stellen keine vollständige Dokumentation der Veranstaltung dar. Aggregate Planning IELM 310
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Heading 2 Unit of measure * Footnote Source: Sources LEARNING OBJECTIVES 1. Understand the role of aggregate planning in production and operations management 2. Learn how to formulate and solve product mix and product aggregation problems 1. Learn how to model aggregate planning problems by linear programming (LP)
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Heading 3 Unit of measure * Footnote Source: Sources CONTENTS Motivation Product Mix Planning Extensions of Product Mix Planning Product Aggregation: A Case Summary
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Heading 4 Unit of measure * Footnote Source: Sources long term Demand fulfillment Purchasing Production control Aggregate planning Demand forecasting Inventory management Operations scheduling Distribution planning Transport planning Fulfillment implementation Distribution network design Product development medium term short term Distribution Facility location and layout Manufacturing Supply net- work design Partner selection Product portifolio Derivative product development Adaptions Current product support Materials ordering Supply contract design
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Heading 5 Unit of measure * Footnote Source: Sources COMPLEXITY IN PRODUCT VARIETY Barilla Zara BMW Airbus •Often determine the production of multiple products under common constraints of machine capacity, material supply, workforce availability, etc. •Often combine individual products within the same product family into an aggregate product Company Product variety 800 different pasta produced per week 12,000 different products designed and produced per year > 1,000 different variants per day Each order different
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Heading 6 Unit of measure * Footnote Source: Sources CONTENTS Motivation Product Mix Planning Extensions of Product Mix Planning Product Aggregation: A Case Summary
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Heading 7 Unit of measure * Footnote Source: Sources BASIC ASSUMPTIONS • Multiple products • Limited resources • Multi-period planning horizon Known demand information
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Heading 8 Unit of measure * Footnote Source: Sources MODEL PARAMETERS i Index of product, i = 1, …, m j Index of workstation, j = 1, …, n t Index of time period, t = 1, …, t d it Maximum demand for product i in period t d it Minimum demand for product i in period t a ij Time required on workstation j to product one unit of product i c jt Capacity of workstation j in period t (i.e., machine time) r i Net profit from one unit of product i h i Cost to hold one unit of product i for one period
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Heading 9 Unit of measure * Footnote Source: Sources
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Aggregate Planning - IELM 310 Aggregate Planning Date...

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