'Rectilinear distance' diaporamas de présentation

Project and Production Management

module 7: Facility Location and Layout Back to main index exit continue. Project and Production Management. Module 7 Facility Location and Layout. Prof Arun Kanda & Prof S.G. Deshmukh , Department of Mechanical Engineering, Indian Institute of Technology, Delhi.

2.11k views • 159 slides

Location

Location. Chapter 11. How Location fits the Operations Management Philosophy . Operations As a Competitive Weapon Operations Strategy Project Management. Process Strategy Process Analysis Process Performance and Quality Constraint Management Process Layout Lean Systems.

838 views • 59 slides

Process Strategy in Customer Management

528 views • 52 slides

Facility Location

Facility Location. Logistics Management Factors that Affect Location Decisions Distance Measures Classification of Planar Facility Location Problems Planar Single-Facility Location Problems Minisum Location Problem with Rectilinear Distances Minisum Location Problem with Euclidean Distances

969 views • 43 slides

Process Layout

Process Layout. Chapter 8. D. D. L. L. M. M. D. D. L. L. M. M. L. L. M. M. G. G. L. L. G. G. A. A. A. A. G. G. How Process Layout fits the Operations Management Philosophy . Operations As a Competitive Weapon Operations Strategy Project Management.

684 views • 42 slides

Mathematical Models for Facility Location

Mathematical Models for Facility Location. Prof Arun Kanda Department of Mech Engg Indian Institute of Technology, Delhi. A Case Study A Decision Model for a Multiple Objective Plant Location Problem Prem Vrat And Arun Kanda INTEGRATED MANAGEMENT, July 1976, Page 27-33.

609 views • 28 slides

Mathematical Models for Facility Location

Mathematical Models for Facility Location. Prof Arun Kanda Department of Mech Engg Indian Institute of Technology, Delhi. A Case Study A Decision Model for a Multiple Objective Plant Location Problem Prem Vrat And Arun Kanda INTEGRATED MANAGEMENT, July 1976, Page 27-33.

407 views • 28 slides

A Genetic Algorithm Tool for Designing Manufacturing Facilities in the Capital Goods Industry

448 views • 22 slides

Exam #2

Exam #2. John H. Vande Vate Fall, 2002. Question 1. Formulate a linear mixed integer programming model to solve the following problem.

202 views • 19 slides

A TOOL FOR OPTIMISING FACILITIES DESIGN FOR CAPITAL GOODS COMPANIES

A TOOL FOR OPTIMISING FACILITIES DESIGN FOR CAPITAL GOODS COMPANIES. Christian Hicks Email: Chris.Hicks@ncl.ac.uk University of Newcastle, England. http://www.staff.ncl.ac.uk/chris.hicks/presentations/presin.htm. Capital Goods Companies. Products and processes usually complex.

301 views • 17 slides

Dr Christian Hicks University of Newcastle upon Tyne

Determining optimum Genetic Algorithm parameters for designing manufacturing facilities in the capital goods industry. Dr Christian Hicks University of Newcastle upon Tyne. http://www.staff.ncl.ac.uk/chris.hicks/presindex.htm. Two main themes: Facilities layout problem (FLP)

301 views • 16 slides