Quick response in fast fashion retail: An optimization supply chain responsiveness model

Fares, Naila; Lebbar, Maria; Sbihi, Najiba

doi:10.1109/icoa.2018.8370565

Cited by 7 publications

(9 citation statements)

References 11 publications

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“…While many firms claim to respond to the evolving market demands, only a few have the requisite responsiveness to make such a claim. Zara has always lived up to the expectations of customers when there is a demand for a new fashion in the market with varied customer needs (Aftab et al, 2018;Fares et al, 2018). It has combined the capabilities of speed and flexibility to build a fast response retail network.…”

Section: Introductionmentioning

confidence: 99%

A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis

Sharma

Taggar

Bindra

et al. 2020

BIJ

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PurposeThis paper aims to epistemologically extend and explore the present theories from prior research conducted in the area of responsiveness. Furthermore, it determines to benchmark the prominent theories, characteristics, context and methodologies (TCCM) used in the domain since its inception to advance the science and practice of marketing and logistics discipline.Design/methodology/approachA seven-step methodology (SSM) has been introduced to create a comprehensive dataset. Based upon the selection criteria of high-ranked journals and language, the research studies have been retrieved from Scopus, Web of Science, Business Source Complete and journal homepage to avoid the error of exclusion. Moreover, the dataset has been compiled using manual and electronic searches without any limitation of time.FindingsThe search for a suitable dataset retrieved 642 documents by identifying “1969” as the beginning year of research in the subject domain. The analysis found that responsiveness has been prominently studied in the manufacturing industry. The results also advocate responsiveness as the vital antecedent to performance and satisfaction. Frameworks have been proposed with significant propositions for future empirical testing and theory inventiveness by researchers.Originality/valueThe study pioneers its utility for retailers to recognize the firms' inherent abilities and strengths, which can be promoted to create responsiveness more than ever. The analysis results can act as the compelling force to understand the driving power of various factors influencing responsiveness.

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Section: Introductionmentioning

confidence: 99%

A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis

Sharma

Taggar

Bindra

et al. 2020

BIJ

View full text Add to dashboard Cite

show abstract

“…Our novel model can help the managers to make better decisions about their production, replenishment, and logistics policies in a reasonable time. As opposed to previous works such as [4] that was limited to only manufacturers and stores, our suggested model considers the decisions of designers, manufacturers, distribution centers and stores in a more comprehensive way.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, in this area, decision makers should have high operations flexibility to respond to demand in a timely manner. [4] developed an optimization model for a supply chain of a fashion retailer for a fast response to demand and having an optimized replenishment policy. Their model is cable of calculating the optimal quantity that needs to be transferred between stores in order to meet the demand in different locations.…”

Section: Literature Reviewmentioning

confidence: 99%

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Fashion Supply Chain Optimization: A Linear Programming Model

Shoarinejad¹,

Nejad²

2022

Preprint

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Fashion supply chain management is challenging due to demand uncertainty, short product life, fierce global competition, and increasing expectations such as product diversity and keeping pace with the current and emerging trends. In this paper, a brief review of the published works in the field of fashion and clothing supply chain is given and an integrated linear model is presented to minimize a fashion brand’s costs, including production and logistics costs, enabling the firm to make better decisions with regard to its production and replenishment policies and responding in a reasonable time to customers demands for various designed items. We show that our model can successfully account for complex structure of the supply chain consisting of designer, manufacturers, distributors, and stores. The model is validated using the General Algebraic Modelling System (GAMS) with the data collected from an Iranian fashion brand.

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“…To apply linear programming solution procedure for TSP this paper applies the Simplex algorithm for relaxations of the problem to find optimal solutions, which seems to be a good choice according to some literature review [26,27,28]. The study even steps further to use IBM's CPLEX optimizer which enables decision optimization for improving efficiency [29,30].…”

Section: Ilp Formulationmentioning

confidence: 99%

Evaluation of TSP for Emergency Routing

Zaman¹,

Hasan²,

Ulla³

2021

IJITCS

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The paper considers the symmetric traveling salesman problem and applies it to sixty-four (64) districts of Bangladesh (with geographic coordinates) as a new instance of the problem of finding an optimized route in need of emergency. It approached three different algorithms namely Integer Linear Programming, Nearest-neighbor, and Metric TSP as exact, heuristic, or approximate methods of solving the NP-hard class of problem to model the emergency route planning. These algorithms have been implanted using computer codes, used IBM ILOG CPLEX parallel optimization, visualized using Geographic Information System tools. The performance of these algorithms also has been evaluated in terms of computational complexity, their run-time, and resulted tour distance using exact, approximate, and heuristic methods to find the best fit of route optimization in emergence thus contributing to the field of combinatorial optimization.

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Quick response in fast fashion retail: An optimization supply chain responsiveness model

Cited by 7 publications

References 11 publications

A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis

A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis

Fashion Supply Chain Optimization: A Linear Programming Model

Evaluation of TSP for Emergency Routing

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