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Both postponement and outsourcing have been identified as important characteristics of modern and competitive supply chains. The implementation of postponement may require extensive (spatial) reconfiguration of the supply chain. Presents findings from interviews with managers of food, electronics, automotive and clothing manufacturers in The Netherlands, Belgium and Germany. Findings reveal that in food supply chains both postponement and outsourcing are applied to a lesser extent than in other industries. Reasons, which refer to the industry‐specific characteristics, are given. Ways for food companies to assure competitiveness are then described on the dimensions of postponement, outsourcing and spatial reconfiguration. A framework is developed to position chains in terms of degree of outsourcing, level of postponement and spatial configuration. The framework can help managers diagnosing and repositioning their organizations, along the dimensions mentioned.

From a synthesis of literature, the purpose of this paper is to present a conceptual risk management framework, showing the effect of logistics outsourcing on the supply chain vulnerability (SCV) of shippers. The framework is designed to assist practitioners and academics in better understanding the key research, management as well as operational aspects involved.

A literature review is conducted and based on these findings a conceptual framework developed.

Logistics outsourcing is increasingly used by shippers, but the specific aspect of supply chain risk management (SCRM) and SCV in this context is rarely covered in research and implementation in practice is limited. Logistics outsourcing can have an ambiguous effect on the SCV of shippers and is influenced by other internal and external factors.

Literature directly dealing with logistics outsourcing and SCV/SCRM is rare and thus the framework is built on insights, compiled from the distinct research areas. Further research should be performed on this nascent topic.

Shippers may use the framework to revise their risk management strategy and actively use logistics outsourcing to decrease SCV. Logistics service providers can tailor their services specifically toward clients and thus both can be better prepared for future supply chain disruptions.

This paper looks specifically at SCV and SRCM of shippers with regards to logistics outsourcing.

The redesign of a product supply chain, in terms of production, cost and delivery capabilities can be effectively accomplished by mapping, analyzing and simulating the changes in the supply chain prior to implementation. The case being discussed pertains to the apparel industry in the USA. The beginning of 2005 marked the end of a 30‐year old quota on the apparel market in the USA. This has led many western apparel manufacturers to outsource their production to low‐labor cost countries. This in‐turn has led to increased customer lead‐times. This paper aims to discuss how the implementation of proper IT systems and supply chain measures can reduce lead‐times and also reduce total cost.

An integrated approach is utilized to model the impact of apparel outsourcing added to a US apparel producer supply chain by studying the process map, data analysis, and simulation of the supply chain using Visio, Excel and @Risk simulation software. Using Monte Carlo simulation, the hypotheses on responsiveness and relative costs were tested with and without the outsourcing feature in the US apparel producer supply chain.

The cost savings through outsourcing in the low‐cost labor countries in Asia for the US apparel producer supply chain can be huge and the lead‐time is quite substantial. Thus, outsourcing is not a viable solution for meeting short‐term market demands. However, for large seasonal orders, outsourcing could be an enormous cost‐saver. The lead‐time of the US apparel producer supply chain could be improved if certain controllable factors such as order processing could be made more efficient.

Recent studies by Acaccia, Conte, Maina and Michelini as well as the Leadership for European Apparel Production From Research along Original Guidelines (LEAPFROG, www.leapfrog‐eu.org/), were reviewed. However, no recent study that uses Monte Carlo simulation to measure the supply chain in the apparel market for the USA was traceable in the existing literature except one done by Naylor, Burdick and Sasser at Duke University in 1967. The process modeling of the US apparel producer supply chain with the outsourcing feature will be a useful decision analysis tool. With more data and better understanding of the industry, this simulation model can be easily expanded to obtain a more in depth understanding of any US apparel producer supply chain with an outsourcing capability. Even with making some realistic assumptions in the model, one can easily see the potential benefits of outsourcing. The study found that the customer lead‐time was averaging around 57 days at three‐fourths of the original cost with the minimum customer lead‐time being 41 days. Improved IT and logistics capabilities can minimize the variability recognized in major components of customer lead‐time, such as ocean freight transportation time, order processing time and manufacturing time.

The contribution of the research results from the apparel industry application, where simulation studies of this kind have recently not been executed for a US apparel manufacturer. It also showcases an innovative approach in analyzing outsourcing strategies for a US apparel producer supply chain. The study makes a business case that process improvement can be effectively accomplished with an integrated approach of using widely available inexpensive and user‐friendly computer‐based tools.

A major part of economic globalization has taken place in the form of different globalization strategies. Offshoring and outsourcing of manufacturing activities from Western locations to Eastern Europe and the Far East are used to remain competitive. Such strategies have implications for supply chain performance. The purpose of this paper is to explore whether supply chain performance is affected differently depending on the choice of globalization strategy.

The paper is based on in‐depth literature reviews and explorative case studies – two offshoring and two outsourcing projects. A model explaining the choice of localization and globalization strategy (the OLI model) is applied as a basic framework. Data have been collected through in‐depth interviews with persons responsible for the offshoring and outsourcing projects.

The paper addresses different practices of managing supply chain performance in offshoring and outsourcing strategies. The OLI model provides an increased consciousness of the managerial challenges related to supply chain performance based on the chosen globalization strategy.

The paper is explorative in nature and is based on four case studies. The paper provides no basis for statistical generalizations.

The supply chain performance is affected both positively and negatively in each type of globalization strategy. The OLI model provides an extended understanding of the factors that should be considered in decision processes concerning offshoring and outsourcing.

In this paper, the OLI model is integrated in a new understanding of supply chain performance.

Rising production costs in coastal China have caused the popularity of the “China plus one” strategy, and the hike in oil prices favors near‐shore outsourcing to reduce transportation costs. Taking into consideration supply chain strategy, this paper aims to investigate the impacts of these major business environment changes on manufacturing outsourcing in China.

Considering costs and lead times, a bi‐objective integer programming model is developed to determine optimal supply chain configuration decisions under various business environment scenarios. A case study with a family of footwear products is used to illustrate model application and present detailed analyses.

Impacts of factors could be non‐intuitive. Partial relocation may be better than relocating all manufacturing steps to lower‐cost regions. Coastal China is still attractive for products with short order lead times, because of its formation of industrial clusters and efficient logistics services.

Only tangible factors including costs and lead times are evaluated; however, they offer valuable insight for the strategic decision of selecting outsourcing locations.

The analyses suggest differentiated outsourcing strategies depending on product and demand characteristics. The trend of moving manufacturing away from China is exaggerated. Coastal China has established industrial clusters and efficient logistics support to enable supply chain responsiveness; while inland China maintains a low cost comparable with competing Asian countries.

Existing studies on the research phenomenon focused on cost factors alone. This paper analyzes lead times as well. The study also introduces the network perspective into the research of offshore manufacturing outsourcing.

The purpose of this paper is to present a generic framework to assess and simulate outsourcing risks in the supply chain.

This combination approach involves a qualitative risk analysis methodology termed as the supply chain risk‐failure mode and effect analysis (SCR‐FMEA) which integrates risk identification, analysis and mitigation actions together to evaluate supply chain outsourcing risk. The qualitative risk assessment will allow risk manager to provide a visual presentation of imminent risks using the risk map. Monte Carlo simulation (MCS) on the imminent risks of delivery outsourcing using the Milk‐Run system is adopted.

With basic statistical concepts, key performance variables and the risk of delivery outsourcing are analyzed. It is found that a newly implemented delivery outsourcing arrangement on the Milk‐Run system reduces the average customer lead‐time and total cost. However, a certain extent of risk or uncertainty can still be detected due to the presence of variation.

This paper reveals that company can manage the risk by adopting a systematic method for identifying the potential risks before outsourcing and MCS can be applied for examining the quantifiable risks such as lead time and cost.

The paper provides a generic guideline for practitioners to assess logistics outsourcing, especially for logistics management consultants and professionals for evaluating the risk and impact of outsourcing. It is believed that the proposed risk assessment framework can help to analyze the operational cost uncertainty and ensure the stability of the supply chain. However, the limitation of this research is that the full spectrum of outsourcing risk, especially the non‐quantifiable risk may not be analyzed by MCS.

This paper proposed an integrated framework which combines qualitative and quantitative method together for managing outsourcing risk. This research provides a standardized metric to quantify risk in the supply chain so as to determine the effectiveness of outsourcing.

A key process involved in supply chains is a priori evaluation of potential partners, not only in terms of expected cost (which includes exchange rate risk), but also in terms of other risks. These risks can include product failure, producing company failure (such as bankruptcy), and even political risk. This paper aims to compare tools to aid supply chain organizations in measuring, evaluating, and assessing risk in this environment.

The authors demonstrate the use of DEA, followed by a DEA simulation model and also a Monte Carlo simulation using a risk‐adjusted cost concept. Once non‐dominated partners are identified by DEA, simulation analysis is applied to compare expected performance of vendors, and the range of expected outcomes can be identified, aiding supply chain core organizations to better select producing partners.

The authors consider strategies of outsourcing to China, as well as other nations under various forms of risk. A scenario analysis using risk management models indicates outsourcing to Great China is a good strategy.

The authors conducted a thorough review of supply chain risk management and identified criteria and various risk performance measures for outsourcing under risk and uncertainty in a supply chain. The benefit of outsourcing to China is discussed. The authors have designed an international outsourcing problem, where foreign exchange risk, product failure, organizational failure, and political risks are considered.

The future retirement of US Air Force (USAF) legacy weapon systems (WSs) removes their associated funding from within the Air Force Working Capital Fund and their parts from its organic supply chain inventory. The trending outsourcing of product support to contracted logistics support and its potential long-term consequences to the USAF government-owned, government-operated, organic supply chain and the reconstitution capabilities it enables in the USAF’s organic industrial base, suggests the need to assess its risks. Although there is an existing body of research into the risks of outsourcing the USAF’s industrial repair, and federal legislation such as Core 50/50 laws enacted to institutionalize its risk management, there is comparatively little research into the outsourcing risks to the long-term viability of the supply chain on which that repair capability is dependent. The aim of this research is to fill that research gap by assessing and modeling those risks. This research concludes by providing several future research directions that may be evaluated to provide more detail.

Leveraging a conceptual model derived from research and a multi-criteria analysis framework to assess supply chain risk. Quantifying the predicted impact of retirements on funding and inventories of unique parts. Modeling the potential risk due to WS retirement.

Results indicated long term enterprise risks to the Air Force’s supply chain correlated to the retirement of WSs and their associated funding and spare parts inventory.

This research provides an in-depth evaluation of the USAF’s supply chain to assess the holistic risk of product support outsourcing and its long-term impacts on viability by using resource-based view and contingency theory as theoretical underpinnings. In addition, insights and implications for defense supply chain managers and decision-makers.

The purpose of this paper is to implement the philosophy of supply chain management in the current higher education environment so as to suggest innovative management ideas in higher education management.

This paper conducted an in‐depth case study approach in a university. This study follows Yin's approach to interview the personnel of a supply chain department and collected the university documents.

The study identified three supply chains of the university, i.e. commodity, special requested and outsourcing supply chains. Rearrangements of the existing supply chain are suggested to further improve the efficiency and effectiveness of higher education.

This research, which used a case study approach to examine a university, affects the research generalization. This research, which qualitatively reviewed the supply chain management in a university, failed to obtain objective instruments of the supply chain performance in the university.

Two innovative ideas for managing the supply chain in the higher education environment are explored. The findings provide interesting and innovative ways for the manager in the education section to review their works.

From an academic perspective, this research may be an innovative way to implement the latest business management philosophy into the higher education environment. This connects education management with general business management. From a managerial perspective, this research provides education management a new way to understand how supply chain management impacts on the performance of a university. It also identifies unanswered questions for further study.

Discussion regarding the implications of and antecedents to the decision to outsource manufacturing functions has dominated both the academic literature and popular press for over 30 years. However, economic and competitive landscapes across the globe have changed such that the tenability of outsourcing is being re-evaluated by many organizations. Using the rich body of literature regarding the decision to outsource as a starting point, the purpose of this paper is to investigate the reasons why firms insource and the associated implications thereof.

This case study research captures data from 12 firms in the manufacturing industry that have insourced a previously outsourced function. Data were collected via interviews with executives, researcher observations, and archival records over a nine-month period.

The findings suggest that the primary drivers for insourcing were predominantly the same as those cited for outsourcing. However, insourcing decisions are often made in response to a specific, external trigger event and not necessarily in concert with long-term, strategic goals. This is in contrast to firms’ desires to make more strategic location decisions. The findings also show that insourcing/outsourcing location decisions require continuous evaluation in order to optimize competitiveness and align with long-term firm goals.

This research contributes by not only assimilating and gaining an understanding of key factors affecting insourcing decisions, but also by establishing a baseline for future investigation into this burgeoning area via the presentation of testable propositions.

This paper provides insights for supply chain, logistics, and operations management professionals who seek to better understand the critical factors that should be considered when deciding whether or not to insource.

The benefits of insourcing are being considered to a greater extent across industry, yet there is a dearth of academic or practitioner literature that business leaders and academicians can use as the basis for examining this decision. This research provides both the basis and motivation for developing knowledge in this area of increasing importance.