NDLI: Quantitative controlling approach of time synchronicity in convergent supply processes

Content Provider	Springer Nature Link
Author	Hund, Eric C. Rochow, Philip Mach, Florian Nyhuis, Peter
Copyright Year	2016
Abstract	Controlling the time synchronicity of supply processes for assembly requires a quantitative measure. An existing controlling instrument, the supply diagram, already provides an effective way of assessing the supply situation. It incorporates different key figures which allow for an evaluation of a company’s supply process coordination. However, it lacks a key figure for describing the level of time synchronicity. Therefore, a quantitative evaluation of actions to improve the time synchronicity in supply processes is not possible. Based on an existing approach of approximating the completion of full assembly orders, a key figure for describing the level of time synchronicity is developed in this article: the synchronicity factor. As this new key figure is dependent on the average number of components required for one assembly order for the regarded time period, a second measure, the relative synchronicity factor, accounts for this number and can thereby be used to compare different time periods. As the numerical calculation of the synchronicity factors is a complex problem, the possibility of applying a simple hill climbing algorithm to accurately determine the synchronicity factor for a certain supply situation is examined.
Starting Page	319
Ending Page	327
Page Count	9
File Format	PDF
ISSN	09446524
Journal	Production Engineering
Volume Number	10
Issue Number	3
e-ISSN	18637353
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-04-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Production planning and control Supply chain management Procurement management Controlling Supply diagram Time synchronicity Industrial and Production Engineering Production
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

High resolution supply chain management: optimized processes based on self-optimizing control loops and real time data

Quantitative models for supply chain planning under uncertainty: a review

Proactive supply chain management in the forging industry

Hybrid approach to distribution planning reflecting a stochastic supply chain

Robust optimization approach for an aggregate production–distribution planning in a three-level supply chain

Strategic production technology planning using a dynamic technology chain calendar

Impact of information sharing on supply chain performance

Impact of traditional and international logistic policies in supply chain performance

On a generalized approach to manufacturing energy efficiency

Quantitative controlling approach of time synchronicity in convergent supply processes

Similar Documents

High resolution supply chain management: optimized processes based on self-optimizing control loops and real time data

Quantitative models for supply chain planning under uncertainty: a review

Proactive supply chain management in the forging industry

Hybrid approach to distribution planning reflecting a stochastic supply chain

Robust optimization approach for an aggregate production–distribution planning in a three-level supply chain

Strategic production technology planning using a dynamic technology chain calendar

Impact of information sharing on supply chain performance

Impact of traditional and international logistic policies in supply chain performance

On a generalized approach to manufacturing energy efficiency

Quantitative controlling approach of time synchronicity in convergent supply processes