Economic evaluation of cooperation scenarios in supply chains

Buxmann, Peter; Ahsen, Anette von; Diaz, Luis Martin

doi:10.1108/17410390810866628

Cited by 10 publications

(7 citation statements)

References 26 publications

(26 reference statements)

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“…These solutions must be designed to provide a comprehensive framework to represent, reconcile and optimise plans across different business scenarios and can suggest trade-offs to facilitate decision making (Ritter et al, 2004). The business planning module may consider various interrelated perspectives of strategic demand and forecast planning (Forslund and Jonsson, 2007;Carbonneau et al, 2008;Rodriguez et al, 2008), strategic capacity planning (Kamath and Roy, 2007;Dulluri and Raghavan, 2008), demand-capacity-inventory planning (van der Vaart and Wijngaard, 2007) supported by operational and financial evaluation (Corbett et al, 2005;Buxmann et al, 2008). The framework for such a business planning module is depicted in Figure 2.…”

Section: Business Planning Frameworkmentioning

confidence: 99%

A framework for semiconductor industry supply chain planning: perspectives of intelligent enterprise

Bahinipati

2012

IJIE

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Supply chain planning in the semiconductor industry integrates the complex network of wafer foundries, probe and assembly manufacturing sites together to enhance operational effectiveness. So, the supply chain planning system should aggregate data from multiple sources to provide visibility and interoperable collaboration to an extended network of stakeholders. While exploring buyer-supplier collaborative relationships and new procurement opportunities, the present work proposes the perspectives of business planning, supply management, demand management, multi-echelon inventory optimization, customer order fulfilment, and transportation and logistics management. The novelty of this work lies in the simultaneous consideration of six interrelated perspectives of supply chain planning along with the perspective of collaboration among supply chain enterprises on the basis of information sharing. The proposed framework captures the technological and business basis for integration of various elements for supply chain planning for cost-efficient intelligent enterprises.

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Section: Business Planning Frameworkmentioning

confidence: 99%

A framework for semiconductor industry supply chain planning: perspectives of intelligent enterprise

Bahinipati

2012

IJIE

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“…At first, a centralized solution is studied. In centralized or integrated solution, a single decision-maker makes the quantity decisions that optimize overall supply chain profit leveraging all information that the various decision-makers possess (Hohn, 2010; Buxmann et al , 2008; Anupindi and Bassok, 1999). Here, key decision is how much capacity (q) to invest in.…”

Section: Base Model Analysismentioning

confidence: 99%

Service capacity coordination in IT services supply chain

Prasad

Shankar

2018

JM2

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Purpose The purpose of this paper is to investigate capacity coordination in services supply chain (SSC). It provides discussion and application of various contracts in a two-stage single period SSC. Design/methodology/approach This paper considers a two-stage serial supply chain with demand uncertainty and price insensitivity. A model is developed to represent a global IT SSC incorporating services specific factors like over-capacity cost and higher degree of substitution resulting in flexibility to meet unplanned demand. At first, centralized and competitive solutions of the model are studied. Then, the paper studies coordination in this supply chain using some of widely used contract templates. Findings This paper finds several key insights for the researchers and practitioners in this area around adverse impact of over-capacity cost on demand, positive effect of delivery team’s exposure to market on contracting terms and better understanding of efficient frontiers for selected contracting mechanism. Research limitations/implications This paper has limited its analysis to three key and most widely used contracts and made assumptions about risk-neutrality of the firms. Future research can study other contracting templates and/or relax for the model as laid out in this paper. Practical implications An automated software agent can be built leveraging the closed form equations developed here to help decide on optimal capacity investment and devise coordinating contracts. Originality/value This paper established that because of higher degree of substitution, perishability and non-trivial over-capacity cost, SSC behave bit differently than the physical goods supply chain and coordination of participating firms needs to be studied in a services specific context for improving system-wide performance.

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“…(Williams et al, 2008). The development of rapid reconfigurable supply chain systems through re-establishing and developing local and established long supply chains to respond immediately on changes to internal manufacturing demands (Pham et al, 2008) is also important for the future Opportunities also exist to investigate the social and legal aspects of cooperation in supply chains (Buxmann et al, 2008) in order to establish relationships and power systems that exist in supply chain echelons…”

Section: Jmtm 232mentioning

confidence: 99%

Identifying the UK's manufacturing challenges as a benchmark for future growth

Thomas

Byard²,

Evans³

2012

Journal of Manufacturing Technology Management

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Purpose -The purpose of this paper is to recognise the key manufacturing challenges currently facing UK manufacturing industry and to further identify the Key Developmental Areas (KDAs) (which includes technologies, systems and paradigms) which need to be developed and employed in order to ensure manufacturing firms in the UK become economically sustainable and are able to operate effectively in a global competitive market. The aim of the paper is to provide a benchmark for UK manufacturing industry to work from, after which future measuring instruments could be employed to track whether companies are meeting these challenges. Design/methodology/approach -A survey into 100 UK manufacturing companies provides the basis for the identification of the challenges and KDAs. The findings from the survey are analysed against information obtained from existing strategy reports and foresight papers/studies to reach a point where the authors identify a balanced set of challenges and developmental areas obtained from this mixed research approach. Findings -Through a comprehensive academic and industrial study, the authors identify and propose nine key manufacturing challenges for UK manufacturing industry to consider. Furthermore, the authors also identify a number of the KDAs which could be used to assist companies in meeting these challenges. The KDAs are not meant to be exhaustive but aimed to provide the underpinning support to the challenges proposed.Research limitations/implications -The paper proposes a set of key manufacturing challenges for UK manufacturing businesses to consider and apply appropriate technologies and systems to achieve business resilience. This paper will therefore be of benefit to the academic community in that it distils a wide range of academic theory and industrial practice in order to create a coherent body of knowledge. As with any survey work, the accuracy of information depends largely on the size of the survey. Whilst 100 companies were surveyed, a further extension to this number would always help to strengthen future research. Originality/value -The identification of these key manufacturing challenges and their corresponding technologies, systems and paradigms is aimed at providing a new manufacturing perspective to both academics and industrialists. The challenges and developmental areas proposed provide the basis for a new and advanced manufacturing strategy to be developed for UK companies which aims to create economically sustainable manufacturing organisations.

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Economic evaluation of cooperation scenarios in supply chains

Cited by 10 publications

References 26 publications

A framework for semiconductor industry supply chain planning: perspectives of intelligent enterprise

A framework for semiconductor industry supply chain planning: perspectives of intelligent enterprise

Service capacity coordination in IT services supply chain

Identifying the UK's manufacturing challenges as a benchmark for future growth

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