×
Supply Chain Indonesia Video Channel
QUESTIONS? CALL: +62 22 720 5375 +62 821 1515 9393

Supply Chain Indonesia

Supply Chain Indonesia

Lembaga Pendidikan, Pelatihan, Konsultasi, Penelitian, Pengkajian & Pengembangan Logistik

+62227205375
Email: sekretariat@SupplyChainIndonesia.com

SUPPLY CHAIN INDONESIA
Komplek Taman Melati B1/22 Pasir Impun Bandung 40194 Indonesia

  • BERANDA
  • PROFIL
  • AGENDA
    • Agenda 2023
    • Training
      • Basic Logistics
      • Supply Chain Management
      • Warehouse Management
    • E-Training
      • Basic Logistics
      • Supply Chain Management
      • Warehouse Management
      • Transportation Management
      • Cold Chain Logistics
      • Inventory Management
      • Procurement Management
      • Demand Forecast & Sales and Operations Planning
      • Supply Chain Risk Management
      • Dangerous Goods Handling for Multimode Transport
      • Ahli Kepabeanan
  • OPINI
  • UNDUH
    • Paparan SCI
    • Infografis
    • Data Logistik
    • Kementerian dan Lembaga
    • Asosiasi dan Lembaga Non-Pemerintah
    • Seminar dan Konferensi
    • Forum Diskusi
    • Materi Pembelajaran
      • ERP
      • Manajemen Logistik
      • Sistem Transportasi dan Distribusi
      • Supply Chain Management
      • Manajemen Persediaan
    • Peraturan Perundangan
      • Undang-Undang
      • Peraturan Presiden
      • Peraturan Gubernur
      • Peraturan Pemerintah
      • Kementerian Pekerjaan Umum
      • Kementerian Perdagangan
      • Kementerian Perhubungan
      • Kementerian Pertanian
      • Kementerian Keuangan
      • Badan Nasional Penanggulangan Bencana
      • Kementerian Perindustrian
      • Kementerian Kesehatan
  • HUBUNGI KAMI
COMPANYPROFILE
Supply Chain Indonesia
Wednesday, 05 August 2015 / Published in Info Buku

Demand Forecasting for Inventory Control 2015th Edition

Demand Forecasting for Inventory Control1Demand Forecasting for Inventory Control 2015th Edition

by Nick T. Thomopoulos (Author)

ISBN-13: 978-3319119755
ISBN-10: 3319119753

This book describes the methods used to forecast the demands at inventory holding locations. The methods are proven, practical and doable for most applications, and pertain to demand patterns that are horizontal, trending, seasonal, promotion and multi-sku. The forecasting methods include regression, moving averages, discounting, smoothing, two-stage forecasts, dampening forecasts, advance demand forecasts, initial forecasts, all time forecasts, top-down, bottom-up, raw and integer forecasts, Also described are demand history, demand profile, forecast error, coefficient of variation, forecast sensitivity and filtering outliers. The book shows how the forecasts with the standard normal, partial normal and truncated normal distributions are used to generate the safety stock for the availability and the percent fill customer service methods. The material presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners; there is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical worker will want the book on their bookshelf for reference. The potential market is vast. It includes everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering.

Editorial Reviews

From the Back Cover

This book describes the methods used to forecast the demands at inventory holding locations. The methods are proven, practical and doable for most applications, and pertain to demand patterns that are horizontal, trending, seasonal, promotion and multi-sku. The forecasting methods include regression, moving averages, discounting, smoothing, two-stage forecasts, dampening forecasts, advance demand forecasts, initial forecasts, all time forecasts, top-down, bottom-up, raw and integer forecasts, Also described are demand history, demand profile, forecast error, coefficient of variation, forecast sensitivity and filtering outliers. The book shows how the forecasts with the standard normal, partial normal and truncated normal distributions are used to generate the safety stock for the availability and the percent fill customer service methods. The material presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners; there is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical worker will want the book on their bookshelf for reference.  The potential market is vast.  It includes everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering.

About the Author

Nick T. Thomopoulos is professor emeritus at the Illinois Institute of Technology. He is the author of nine books, including: Applied Forecasting Methods, Prentice Hall, Strategic Inventory Management and Planning, Hitchcock, Essentials of Monte Carlo Simulation, Springer, and Production, Inventory and the Supply Chain, Atlantic Publishers. He has over 100 publications and presentations to his credit, and for many years, he has consulted in a wide variety of industries in the United States, Europe and Asia. Nick received honors over the years, such as the Rist Prize from the Military Operations Research Society, the Distinguished Professor Award in Bangkok, Thailand from the IIT Asian Alumni Association, and the Professional Achievement Awardfrom the IIT Alumni Association.

Product Details

  • Hardcover: 183 pages
  • Publisher: Springer; 2015 edition (December 5, 2014)
  • Language: English
  • ISBN-10: 3319119753
  • ISBN-13: 978-3319119755
  • Product Dimensions: 6.1 x 0.5 x 9.2 inches
  • Shipping Weight: 15.5 ounces (View shipping rates and policies)

Contents

1 Demand Forecasting for Inventory Control
2 Demand History
3 Horizontal Forecasts
4 Trend Forecasts
5 Seasonal Forecasts
6 Promotion Forecasts
7 Multi-SKU Forecasts
8 Forecasts Sensitivity
9 Filtering Outliers
10 Standard Normal and Truncated Normal Distributions
11 Safety Stock
12 Auxiliary Forecasts

Sumber:
http://www.amazon.com/Demand-Forecasting-Inventory-Control-Thomopoulos/dp/3319119753/ref=sr_1_114?ie=UTF8&qid=1438762108&sr=8-114&keywords=logistics+books+2015

 

Komentar

comments

Tagged under: distribusi, Logistics, LOGISTIK, Logistik Indonesia, Pergudangan, rantai pasok, Supply Chain, Supply Chain Indonesia, transportasi

What you can read next

Operations & Supply Chain Management
Logistics Management and Strategy
Bisnis Model Kanvas Distributor

Recent Posts

  • Dorong Pariwisata & Logistik Bali, ASDP Akan Kembangkan Pelabuhan Gilimanuk

    PT ASDP Indonesia Ferry (Persero) akan mengemba...
  • Khofifah Yakin Jatim Menjadi Pusat Industri Halal

    Jakarta: Pemerintah Provinsi Jawa Timur berambi...
  • Asosiasi Logistik Forwarder Indonesia Minta Longgarkan Pergerakan Truk Kontainer

    PALEMBANG, SUMEKS.CO – Dewan Pengurus Wil...
  • Bea Cukai Jamin Permudah Izin Kawasan Berikat KITB

    Semarang, InfoPublik – Kawasan Indus...
  • DKP DIY Tingkatkan Produksi Ikan 3.500 Ton Per Tahun

    Yogyakarta – Dinas Kelautan dan Perikanan...
  • GET SOCIAL

Copyright © 2017, SUPPLY CHAIN INDONESIA | Komplek Taman Melati B1/22 Pasir Impun Bandung 40194 Indonesia

TOP
WhatsApp chat