Evaluation of Communication in Multiagent Systems for Supply Chain Planning and Control

2014 ◽  
Author(s):  
Faten Ben Hmida ◽  
Wided Lejouad Chaari ◽  
Remy Dupas ◽  
Anne Seguy
Keyword(s):  
Supply Chain ◽  
Multiagent Systems ◽  
Supply Chain Planning ◽  
Planning And Control ◽  
And Control

Collaborative Demand and Supply Planning Networks

2012 ◽  
pp. 108-116
Author(s):  
Hans-Henrik Hvolby ◽  
Kenn Steger-Jensen ◽  
Erlend Alfnes ◽  
Heidi C. Dreyer
Keyword(s):  
Supply Chain ◽  
Research Council ◽  
Supply Chain Planning ◽  
Demand And Supply ◽  
Manufacturing Planning ◽  
Planning And Control ◽  
Exchange Information ◽  
Supply Planning ◽  
And Control ◽  
House Production

The focus of manufacturing planning and control has gradually expanded from (in-house) production activities towards all manufacturing and logistic activities in the supply chain. Planning of in-house operations is still very important, but the trends towards increased use of outsourcing and mass customisation require that customers and suppliers are able to exchange information frequently to cut down costs and lead time while quickly adapting their manufacturing and logistics operations to market/customer requirements. Many vendors offer systems to plan and control in-house operations, whereas only a few large vendors (such as Oracle, SAP and I2) offer supply chain planning systems. This limits the ability for SMEs to exploit the supply chain planning options. This chapter discuss current supply chain planning solutions and presents a more simple and adaptive concept to be used in both SMEs and larger enterprises. The research presented in this chapter is funded by the EU Union via the EmpoSME, ValuePole projects, and by the Research Council of Norway via the SFI Norman project.

scholarly journals Grocery retail supply chain planning and control: Impact of consumer trends and enabling technologies

2018 ◽  
Vol 51 (11) ◽  
pp. 612-617
Author(s):  
Logan R. Vallandingham ◽  
Quan Yu ◽  
Nakul Sharma ◽  
Jo W. Strandhagen ◽  
Jan Ola Strandhagen
Keyword(s):  
Supply Chain ◽  
Supply Chain Planning ◽  
Planning And Control ◽  
Enabling Technologies ◽  
And Control

scholarly journals Opposites Attract: An Approach to Collaborative Supply Chain Management between Semiconductor and Automotive Companies

2013 ◽  
Vol 1 (1) ◽  
pp. 13-30
Author(s):  
Judith Aelker ◽  
Verena Meister ◽  
Christoph Forster ◽  
Matthias Zapp ◽  
Thomas Bauernhansl
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automotive Industry ◽  
Gap Analysis ◽  
Semiconductor Industry ◽  
Supply Chain Planning ◽  
Chain Management ◽  
Planning And Control ◽  
Weak Points ◽  
And Control

This article illustrates the differences between the semiconductor and the automotive industry and the subsequent challenges to their common supply chain. The weak points at the interfaces between the two supply chains will systematically be identified and assessed. Based on this analysis, a toolkit for collaborative supply chain planning and execution between the automotive and the semiconductor industry is presented. A fit/gap analysis assesses the measures and their potential to solve the supply chain challenges in a systematic manner. The model is built upon existing supply chain management frameworks and defines a set of specific optimization measures for the problem at hand. These are designed to ensure a better alignment of planning and control processes between the automotive and the semiconductor industry.

Product Centric Organization of After-Sales Supply Chain Planning and Control

2010 ◽  
pp. 187-198
Author(s):  
Jan Holmström ◽  
Naoufel Cheikhrouhou ◽  
Gael Farine ◽  
Kary Främling
Keyword(s):  
Supply Chain ◽  
Supply Chain Planning ◽  
Planning And Control ◽  
And Control

scholarly journals Towards a simulation-based optimization approach to integrate supply chain planning and control

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 520-525 ◽  
Author(s):  
Matheus Cardoso Pires ◽  
Enzo Morosini Frazzon ◽  
Apolo Mund Carreirão Danielli ◽  
Mirko Kück ◽  
Michael Freitag
Keyword(s):  
Supply Chain ◽  
Optimization Approach ◽  
Supply Chain Planning ◽  
Planning And Control ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
And Control

Collaborative Demand and Supply Planning Networks

2010 ◽  
pp. 496-504 ◽  
Author(s):  
Hans-Henrik Hvolby ◽  
Kenn Steger-Jensen ◽  
Erlend Alfnes ◽  
Heidi C. Dreyer
Keyword(s):  
Supply Chain ◽  
Research Council ◽  
Supply Chain Planning ◽  
Demand And Supply ◽  
Manufacturing Planning ◽  
Planning And Control ◽  
Exchange Information ◽  
Supply Planning ◽  
And Control ◽  
House Production

The focus of manufacturing planning and control has gradually expanded from (in-house) production activities towards all manufacturing and logistic activities in the supply chain. Planning of in-house operations is still very important, but the trends towards increased use of outsourcing and mass customisation require that customers and suppliers are able to exchange information frequently to cut down costs and lead time while quickly adapting their manufacturing and logistics operations to market/customer requirements. Many vendors offer systems to plan and control in-house operations, whereas only a few large vendors (such as Oracle, SAP and I2) offer supply chain planning systems. This limits the ability for SMEs to exploit the supply chain planning options. This chapter discuss current supply chain planning solutions and presents a more simple and adaptive concept to be used in both SMEs and larger enterprises. The research presented in this chapter is funded by the EU Union via the EmpoSME, ValuePole projects, and by the Research Council of Norway via the SFI Norman project.

A flexible and adaptable planning and control system for an MTO supply chain system

2006 ◽  
Vol 22 (5-6) ◽  
pp. 557-565 ◽  
Author(s):  
Mustafa Özbayrak ◽  
Theopisti C. Papadopoulou ◽  
Efstratios Samaras
Keyword(s):  
Supply Chain ◽  
Control System ◽  
Supply Chain System ◽  
Chain System ◽  
Planning And Control ◽  
And Control

scholarly journals Supply chain resilience and industry 4.0: a evaluation of the Brazilian northeast automotive OEM scenario post COVID-19

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Milton C. Soares ◽  
Cristiano V. Ferreira ◽  
Thiago B. Murari
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Future Outlook ◽  
Control Plan ◽  
Quality Planning ◽  
Planning And Control ◽  
Brazilian Northeast ◽  
And Control

AbstractCOVID-19 outbreak has heavily impacted the manufacturing industry, including Brazilian Automotive Industry. The effects of COVID-19 created restrictions in several industry processes as supply chain. On the other hand, several industry 4.0 technologies is able to support the industry supply chain activities in the COVID 19 scenarios, as well it may contributed for the automotive industry recovery and it will define the next steps of this industry. A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. Industry 4.0 is related to the technology development and the digitalization process that improve significantly productivity. Considering the automotive process, an important reference model is described in Advanced Product Quality Planning and Control Plan, that is a manual that communicate the guidelines of the product quality planning and control plan for internal and external suppliers. In this scenario, this paper evaluated the current situation and the future outlook for the adoption of Industry 4.0 technologies in the automotive OEM post-pandemic scenario on the point of view of automotive specialists. The results of this research provide an overview of the current situation and the future outlook for the usage of Industry 4.0 technologies by the Brazilian Northeast automotive OEM, from the perspective of manufacturing engineering experts on APQP.

Prospect of lean practices towards construction supply chain management trends

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phuoc Luong Le ◽  
Nguyen Thi Duc Nguyen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Problem Solving ◽  
Chain Management ◽  
Content Type ◽  
Architectural Engineering ◽  
Planning And Control ◽  
Last Planner System ◽  
Last Planner ◽  
And Control

Purpose To deal with the present situation and recover after the COVID-19 pandemic, construction firms are required to recognise the trends in construction supply chain management (CSCM) for the upcoming years and determine the appropriate practices towards the trends for the improvement of construction activities in terms of strategy, tactic and operations. This paper aims to recognise key trends in CSCM and uses these trends as strategic criteria for the evaluation and prioritisation of lean construction (LC) tools at different project phases including design and architectural engineering, planning and control, on-site construction and safety management. Design/methodology/approach The integrated analytic hierarchy process–Delphi method is used to collect and analyse the data from construction experts to evaluate the importance levels of the CSCM trends and recommend the appropriate tools for LC practices to improve project performances. Findings Seven key CSCM trends are identified: lean supply chain management (SCM), supply chain (SC) integration, SC standardisation, SC problem-solving, SC information-sharing, SC flexibility and SC sustainability. Based on these trends, a set of prioritised lean tools are suggested for LC practices, in which “virtual design construction” (VDC) and “last planner system” are considered as the central tools. These two LC practices can be integrated with other effective tools to support the strategic, tactical and operational targets in construction supply chain (CSC) projects. Research limitations/implications This study gives the managerial implications by developing an application framework of LC practices for CSC projects. The framework promotes “VDC” as a strategic tool for the phase of design and architectural engineering and considers “last planner system” as the central LC practice for the phase of project planning and control. The framework also focuses on the improvement of efficiency in construction operations by taking into account the aspects of on-site collaboration, problem-solving, improvement and safety. Originality/value Up to date, there is still a lack of researches in classifying and prioritising the significant LC tools for each project phase to deal with CSC issues in both breadth and depth. Thus, this study is performed to provide construction managers with the awareness of CSCM trends on which they can focus to have strategic criteria for selecting LC practices to improve CSC performances.

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