Reconfiguring Supply Chains for a Global Automotive Industry

2013 ◽  
pp. 276-293
Author(s):  
Leslie S. Hiraoka
Keyword(s):  
Supply Chains ◽  
Motor Vehicle ◽  
Quality Standards ◽  
Just In Time ◽  
China And India ◽  
Industrial Landscape ◽  
Cross Docking ◽  
First Time ◽  
Parts Suppliers ◽  
Stringent Quality

As the industrial landscape is altered by emerging markets like China and India and the bankruptcy of Detroit automakers and their parts suppliers, motor vehicle firms are reconfiguring their supply chains in order to be cost-competitive on a global basis. Backup capacity and cross-docking are being incorporated into just-in-time delivery systems in an attempt to keep car prices affordable for first-time buyers. This will entail a rebuilding of the global alliances between automakers and key component suppliers that lead to stringent quality standards, adhered-to-delivery schedules, and productivity increases which are needed to keep operating, procurement, and distribution costs under control.

Reconfiguring Supply Chains for a Global Automotive Industry

2011 ◽  
Vol 4 (4) ◽  
pp. 1-17
Author(s):  
Leslie S. Hiraoka
Keyword(s):  
Supply Chains ◽  
Automotive Industry ◽  
Motor Vehicle ◽  
Just In Time ◽  
Distribution Costs ◽  
Industrial Landscape ◽  
Cross Docking ◽  
First Time ◽  
Parts Suppliers ◽  
Stringent Quality

As the industrial landscape is altered by emerging markets like China and India and the bankruptcy of Detroit automakers and their parts suppliers, motor vehicle firms are reconfiguring their supply chains in order to be cost-competitive on a global basis. Backup capacity and cross-docking are being incorporated into just-in-time delivery systems in an attempt to keep car prices affordable for first-time buyers. This will entail a rebuilding of the global alliances between automakers and key component suppliers that lead to stringent quality standards, adhered-to-delivery schedules, and productivity increases which are needed to keep operating, procurement, and distribution costs under control.

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

scholarly journals Cross-Docking Operations for Supply Chain Logistics in JIT Production and Distribution Systems

1970 ◽  
Vol 8 (1-2) ◽  
pp. 219-230
Author(s):  
Gyan Bahadur Thapa ◽  
Tanka Nath Dhamala ◽  
Shankar Raj Pant
Keyword(s):  
Supply Chain ◽  
Distribution Systems ◽  
Operation Time ◽  
Just In Time ◽  
Sequencing Problem ◽  
Supply Chain Logistics ◽  
Research Areas ◽  
Cross Docking ◽  
Production And Distribution ◽  
Multi Level

The multi-level production problem is one of the challenging research areas in supply chain management. We present brief literature review and mathematical models of multi-level just-in-time sequencing problem with a view of cross-docking approach for supply chain logistics. Describing cross-docking operations, we propose a mathematical model for the cross-docking supply chain logistics problem to minimize the operation time as truck sequencing problem. We establish a proposition as the synthesis of the production and logistics.Key Words: Just-in-time; Supply chain; Logistics; Cross-dock; Operation timeDOI: http://dx.doi.org/10.3126/jie.v8i1-2.5114Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011Page: 219-230Uploaded Date: 20 July, 2011

scholarly journals Operational criteria for a successful cross-dock-based supply chain

2011 ◽  
Vol 8 (4) ◽  
pp. 193-200
Author(s):  
John Vogt ◽  
Wessel Pienaar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Common Definition ◽  
Cross Docking ◽  
Different Types ◽  
Operational Criteria

There is a need for a common definition for cross-dock-based supply chains; and there is a need to understand the different types of cross-dock based supply chains. This paper offers encompassing definitions of ‘cross-dock-based supply chain’ and ‘cross-dock facility’. The definitions are applicable to all types of cross-dock-based supply chains and cross-dock facilities. Comprehensive research on cross-docking in the context of the entire supply chain is lacking. The paper shows that cross-dock-based supply chains are of three different types, defined by three principal features. Empiric research was conducted in order to ascertain the operational criteria needed to maximize value from all three types of cross-docking operations.

A multi-criteria cross-docking scheduling with just-in-time approach

2009 ◽  
Vol 49 (5-8) ◽  
pp. 741-756 ◽  
Author(s):  
A. R. Boloori Arabani ◽  
S. M. T. Fatemi Ghomi ◽  
M. Zandieh
Keyword(s):  
Just In Time ◽  
Cross Docking

scholarly journals Just-in-time Grammar Writing an on-line programme: first time experiences

2008 ◽  
Vol 7 (2) ◽  
Author(s):  
Annemarie Künzl-Snodgrass ◽  
Silke Mentchen
Keyword(s):  
Just In Time ◽  
On Line ◽  
First Time

scholarly journals MODELLING OF TRANSPORT OPERATIONS IN SUPPLY CHAINS IN OBEDIENCE TO “JUST-IN-TIME” CONCEPTION

Transport ◽  
2018 ◽  
Vol 33 (5) ◽  
pp. 1162-1172 ◽  
Author(s):  
Valery Lukinskiy ◽  
Vladislav Lukinskiy ◽  
Yuri Merkuryev
Keyword(s):  
Supply Chains ◽  
Simulation Models ◽  
Just In Time ◽  
Road Transportation ◽  
Logistics Systems ◽  
Marine Transport ◽  
Probabilistic Evaluation ◽  
Survey Results ◽  
Basic Approaches ◽  
The Impact

Transportation is a key logistics function, which determines the dynamic nature of material flows in logistics systems. At the same time, transportation is a source of uncertainty of logistics operations performance in the supply chain. Obviously, the development of a new approach for evaluation of the duration of delivery “Just-In-Time” (JIT) will improve the efficiency of supply chains in accordance with one of the major criteria, namely customer satisfaction. One of the basic approaches to make effective management decisions in transportation and other logistic operations is the JIT concept. In the majority of examined sources the JIT concept is described on the verbal level without any usage of calculation dependences. The paper is devoted to the formation of analytical and simulation models, which allow obtaining the probabilistic evaluation of the implementation of unimodal and multimodal international transportation JIT. The first model where the order of the operations implementation does not affect final result is formed on the basis of the probability theory: distribution laws composition, theorems of numerical characteristics of random variables, formula of complete probability. The second model accounts the impact of operations implementation order in transportation and their interconnection and is based on the simulation (the method of statistic experiments) and shown as a corresponding algorithm, which allows to consider different limitations (technical, organizational and so on). Considered analytical dependences give the possibility to obtain the necessary estimations of the transport operations implementation according to JIT: mean transportation time, delivery implementation probability by the set moment or the delivery time with the set probability. To carry out some comparative calculations and clarify the algorithm, two international routes have been chosen: the first one is a unimodal road transportation, the second one is a multimodal transportation (road and marine transport). All the data, which is necessary for calculation has been collected on the basis of official information (in particular, the data of tachograph, special questionnaires filled in by the drivers, the survey results of the managers). For unimodal transportations analytical dependences and modelling results give close results. For the combined multimodal transportations taking into account various limitations the preference must be given to the simulation. The modelled indexes take into consideration their intercommunication and definitely estimate the supply chains reliability, and this allows decreasing the uncertainty of the logistic system.

scholarly journals Analysis of Asymmetric Quantity Commitment in Decentralized Supply Chains

2021 ◽  
Vol 12 (2) ◽  
pp. 83-102
Author(s):  
Zhaoqiong Qin ◽  
Wen-Chyuan Chiang ◽  
Robert Russell
Keyword(s):  
Supply Chains ◽  
Price Competition ◽  
Just In Time ◽  
Lead Times ◽  
Backward Induction ◽  
Multi Stage ◽  
Stage Game ◽  
Time Systems

Quantity commitment chosen by firms in competition has been demonstrated by previous studies to mitigate price competition. This study demonstrates that asymmetric quantity commitment can always arise when one firm (e-tailer) shortens lead times or adopts just-in-time systems to circumvent quantity commitment while another firm (retailer) does not. To study the asymmetric quantity commitment in decentralization, a multi-stage game is analyzed, and backward induction is adopted. The authors find that the retailer always adopts the quantity commitment in the decentralization to achieve a higher profit.

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