'Daily demand' diaporamas de présentation

Chapter 2: Modeling with Linear Programming & sensitivity analysis

Chapter 2: Modeling with Linear Programming & sensitivity analysis. Mute ur call. LINEAR PROGRAMMING (LP). -In mathematics, linear programming (LP) is a technique for optimization of a linear objective function, subject to linear equality and linear inequality constraints.

1.96k views • 76 slides

THE IMPACT OF CLIMATE CHANGE ON WATER SUPPLIES

THE IMPACT OF CLIMATE CHANGE ON WATER SUPPLIES. Jim Doane PE Spring 2004. Order of Presentation. What is Current Unprecedented issues for water supply planning There will be temperature changes as a result of human activity How these changes impact the hydrology of the Pacific Northwest

774 views • 63 slides

Inventory Management

Inventory Management. Operations Management Dr. Ron Tibben-Lembke. Purposes of Inventory. Meet anticipated demand Demand variability Supply variability Decouple production & distribution permits constant production quantities Take advantage of quantity discounts

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Applying Meso-scopic Simulation to Evacuation Planning for the Houston Region

Applying Meso-scopic Simulation to Evacuation Planning for the Houston Region. Chi Ping Lam, Houston-Galveston Area Council Colby Brown, Citilabs Chris Van Slyke, Houston-Galveston Area Council Heng Wang, Houston-Galveston Area Council. Acknowledge.

722 views • 57 slides

Inventory Management for Independent Demand

Inventory Management for Independent Demand. Chapter 12. MGMT 326. Facilities & Work Design. Products & Processes. Quality Assurance. Planning & Control. Foundations of Operations. Managing Projects. Managing Quality. Managing Inventory. Introduction. Linear Program- ming.

988 views • 44 slides

Chapter 2

Chapter 2. Inventory Management and Risk Pooling. 2.1 Introduction Why Is Inventory Important?. Distribution and inventory (logistics) costs are quite substantial Total U.S. Manufacturing Inventories ($m): 1992-01-31: $m 808,773 1996-08-31: $m 1,000,774 2006-05-31: $m 1,324,108

733 views • 44 slides

Inventory Management for Independent Demand

Inventory Management for Independent Demand. Chapter 12. MGMT 326. Products & Processes. Quality Assurance. Planning & Control. Foundations of Operations. Facilities. Linear Program- ming. Product Design. Managing Quality. Managing Inventory. Introduction. Strategy. Process

737 views • 42 slides

Chapter 8 Inventory Management

Chapter 8 Inventory Management. Learning Objectives. To learn about the ways that inventory can be classified To discuss inventory costs and the trade-offs that exist among them To identify when to order an how much to order, with a particular emphasis on the economic order quantity

976 views • 41 slides

Transitioning from Push to Pull Manufacturing

Transitioning from Push to Pull Manufacturing. Rea Buchanan, QAD March 20, 2006. Objectives. Provide a base of understanding about the two styles of manufacturing execution the mechanics the implications Take the mystery out of the terms

1.07k views • 37 slides

Indirect Potable Reuse at Cottonwood Water and Sanitation District

Indirect Potable Reuse at Cottonwood Water and Sanitation District. Rick Arber, Ben Johnson Richard P. Arber Associates Pat Mulhern MRE. Types of Reuse. Agricultural & Industrial. Exchanges Recycle-process, cooling. Municipal. Urban Landscape Irrigation Indirect Potable Use

578 views • 35 slides

Inventory Management and Risk Pooling (2)

Inventory Management and Risk Pooling (2). Designing & Managing the Supply Chain Chapter 3 Byung-Hyun Ha bhha@pusan.ac.kr. Outline. Introduction to Inventory Management The Effect of Demand Uncertainty (s,S) Policy Supply Contracts Periodic Review Policy Risk Pooling

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Chris Morgan, MATH G160 csmorgan@purdue.edu February 6, 2012 Lecture 12

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Inventory Management

876 views • 23 slides

Operations Management

504 views • 22 slides

Department of Water Management Water Supply Update

368 views • 18 slides

Can we reliably forecast individual 3G usage data?

Cosmo Zheng. Can we reliably forecast individual 3G usage data?. An analysis using mathematical simulation of time series algorithms. Background. Fluctuations in daily demand for bandwidth make ordinary usage pricing inefficient

254 views • 15 slides

Building Lean Systems Takt Time

Building Lean Systems Takt Time. Origin of Takt Time. German engineers helped Japan build aircrafts in 30s. Takt is a German word for a musical meter. In TPS; Customer demand dictated the pace of operations on the shop floor.

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PROJECT #2 Petroleum Industry Management

PROJECT #2 Petroleum Industry Management Tasha Mayo Cary Smith Kristi Stewart SYSTEM OF EQUATIONS Factory 1: 20(M) + 10 (D) + 5 (G) + 3 (P) Factory 2: 4 (M) + 14 (D) + 5 (G) + 5 (P) Factory 3: 4 (M) + 5 (D) + 12(G) + 2 (P) We need to find 3 scalars, a, b & c such that:

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The Flaw of Averages

The Flaw of Averages. Although understood by mathematicians & statisticians for centuries, the Flaw of Averages was named by Sam Savage, currently a Consulting Professor at Stanford University. To paraphrase Sam,.

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Case example: Std. W ork at Automotive Supplier

Case example: Std. W ork at Automotive Supplier. This client produces stampings for Ford, Chrysler, GM and others and has recently expanded into Non-Auto Segments. BEFORE Kaizen . AFTER Kaizen. Batch Operation 14 People on the line Inspection/Rework at end of line

314 views • 10 slides