Demand-driven supply chain operations management strategies – a literature review and conceptual model

Tiedemann, Fredrik

doi:10.1080/21693277.2020.1856012

Cited by 6 publications

(5 citation statements)

References 294 publications

(326 reference statements)

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“…(1) Uncertainty Demand fluctuations, forecast errors, process instability, quality issues, and breakdowns [22][23][24] (2) Perspective Supply-or demand-driven systems [25][26][27][28] (3) Topicality…”

Section: Description Key Referencesmentioning

confidence: 99%

“…The task of SCM is to synchronize supply with demand by providing demand-driven offers, i.e., creating and delivering value for the customer [25]. A purely demand-driven supply means "make-to-order" instead of "make-to-stock", is based on customer orders rather than forecasts, and prioritizes meeting customer needs.…”

Section: Perspective: From Supply-driven To Demand-drivenmentioning

confidence: 99%

“…A purely demand-driven supply means "make-to-order" instead of "make-to-stock", is based on customer orders rather than forecasts, and prioritizes meeting customer needs. Demand-driven companies typically want their SC processes to be cost-efficient while being able to respond to dynamic customer needs [25]. The balancing act of ensuring efficiency and responsiveness is based on the ability to create variants and customizations by decoupling thinking [66].…”

Section: Perspective: From Supply-driven To Demand-drivenmentioning

confidence: 99%

See 2 more Smart Citations

Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action

Jodlbauer,

Brunner,

Bachmann

et al. 2023

Logistics

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Background: By examining the recent advancements in technology, particularly the transformation of material into digital flows and its impact on customer demands, the aim of this paper is to investigate supply chain management (SCM) by analyzing seven key constructs: uncertainty, perspective, topicality, coordination, flow, job to be done, and connection. These constructs were chosen since they reflect evolving SCM practices that motivate this study. Methods: We conducted a broad, structured narrative review to comprehensively address the extensive SCM literature. This approach allowed us to evaluate the current state of SCM research and offer recommendations for overcoming prevailing challenges. Results: Our findings reveal the significant impact of technological advancements on SCM operations, requiring companies to adapt and remain competitive. We envision future supply chains as dynamic networks of networks, necessitating the adoption of a value architecture concept that extends a firm’s business model to an ecosystem business model. Conclusions: Considering these changes, our study recommends exploiting uncertainty, adopting demand-driven systems, offering on-demand customized services and products, utilizing prescriptive analytics, prioritizing information flows and services, and embracing open systems with high interoperability. Summarizing these opportunities and challenges that arise with changes in SCM provides interesting venues for future research and valuable insights for practitioners.

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Section: Description Key Referencesmentioning

confidence: 99%

Section: Perspective: From Supply-driven To Demand-drivenmentioning

confidence: 99%

Section: Perspective: From Supply-driven To Demand-drivenmentioning

confidence: 99%

See 1 more Smart Citation

Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action

Jodlbauer,

Brunner,

Bachmann

et al. 2023

Logistics

View full text Add to dashboard Cite

show abstract

“…Customers' perceived utility or willingness to pay for an item is referred to as value. Only if collaborative advantage creates a product that buyers are willing to pay for is it worthwhile to invest resources (Schmidt and Keil, 2013; Tiedemann, 2020). As a result, value creation on the demand side determines the value of supply-side resources.…”

Section: Literature Reviewmentioning

confidence: 99%

Driving sustainability in supply chain management for a more inclusive and responsible future

El-Garaihy

Farag

Shehri

et al. 2022

IJPPM

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PurposeNowadays, a prominent research area is the development of competitive advantages in companies, due to their environmental commitment and orientation. Based on resource-based view (RBV) and institutional theory (InT), this paper aims to investigate the influence of internal and external orientation on businesses' sustainable performance while considering the effect of sustainable supply chain management (SSCM) practices.Design/methodology/approachData from 351 manufacturing companies in the Kingdom of Saudi Arabia have been collected and analysed through structural equation modelling (SEM) using the partial least squares (PLS) method.FindingsThe results indicated that both internal and external environmental orientation have important effects on SSCM practices, which in turn have a considerable beneficial effect on environmental, social and economic performance.Originality/valueAlthough SSCM is constantly gaining ground in the literature, most SSCM research and models examine its effects, antecedents or motivation, mainly adopting a qualitative approach. Research on the topic adopting a large-scale empirical approach is still limited. In this context, this study contributes to the SSCM management literature by exploring the role of environmental orientation in facilitating the adoption of SSCM practices and improving companies' performance.

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“…Consequently, many companies move toward a Demand Driven Manufacturing (DDM) strategy [3]. DDM strategy aims to produce goods based on consumers' demand instead of sales or target forecasts [4]. According to Gartner, nearly 90% of production industries which are not demand-driven, are planning to be [5].…”

Section: Introductionmentioning

confidence: 99%

Long Term Demand Forecasting System for Demand Driven Manufacturing

Sleiman

Tran

Thomassey

2021

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

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Demand-Driven Manufacturing (DDM) is the solution that most companies are heading to in our days. Although this strategy consists of producing goods based on what consumers demand, companies should also rely on accurate forecasting systems to prepare their production chain for such an operation by supplying enough raw material, increasing production capacity to fit the desired demand, etc.… However, due to the fact that most companies have been relying on massive production, most sales forecasting systems usually used rely on sales data of previous years that, not only contain the actual demand, but takes into consideration the marketing strategy effects like massive promotions. Hence, the resulting forecasts do not mainly reflect consumers' demand. For this reason, a switch to demand forecasting, instead of sales forecasting, is essential to ensure a good transition to DDM. This paper proposes an artificial intelligence based demand forecasting system that aims to determine "potential sales", mainly reflecting consumers' demand, by correcting historical sales data from external variables' effects. A comparison with other sales forecasting models is performed and validated on real data of a French fashion retailer. Results show that the proposed system is both robust and accurate, and it outperforms all the other models in terms of forecasting errors.

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Demand-driven supply chain operations management strategies – a literature review and conceptual model

Cited by 6 publications

References 294 publications

Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action

Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action

Driving sustainability in supply chain management for a more inclusive and responsible future

Long Term Demand Forecasting System for Demand Driven Manufacturing

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