A novel approach based on utility mining for store layout: a case study in a supermarket

2017 ◽  
Vol 117 (2) ◽  
pp. 304-319 ◽  
Author(s):  
Serkan Altuntas

Purpose The purpose of this paper is to propose a novel approach based on utility mining for store layout. Design/methodology/approach A utility mining-based data mining algorithm is utilized in this paper. Findings A real-life case study in a supermarket is conducted to illustrate the proposed approach. The findings show that the proposed approach can be used easily and efficiently to arrange store layout. Research limitations/implications There are two limitations to this study. First, space allocation to each product family is not considered. Second, product placement in each product family is not taken into account in the proposed approach. Originality/value In this paper, a novel approach is proposed for business intelligence in retail business. The proposed approach uses a utility-based data mining approach, namely, the high-utility itemset mining (HUIM) algorithm, to rearrange store layout and to determine the relations among product families. The quantities and prices of items purchased corresponding to product families are taken into account in the proposed approach to address the needs in practice. Business intelligence software is also developed as an integral part of the proposed approach to utilize the HUIM algorithm.

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fatma Altuntas ◽  
Mehmet Şahin Gök

Purpose This study aims to propose a novel approach based on utility mining to find the associations among wind energy technologies. Design/methodology/approach The proposed approach uses patent documents and utility mining. Associations among wind energy technologies have been evaluated to show how the proposed approach works in practice. Findings Determining the relationships between wind energy technologies provide essential information to investors and decision-makers. Therefore, a real-life case study of wind energy technology is performed to show how the proposed approach works in practice. The proposed approach founds technology classes associated with wind energy technology. Furthermore, the strongest associations among technologies are also obtained by the proposed approach. The results of the case study show that the proposed approach can be easily used in practice. The maximum size of itemsets is 18-level itemsets. Y02E and F03D cooperative patent classification (CPC) codes appear on all itemsets. As the technologies of Y02E and F03D are directly correlated, they will be mutually developed in the future. Additionally, the number of patent corresponding to Y02E and F03D CPC codes are 7,494 and 6,577, respectively. Originality/value This is the first study that applies the utility mining-based approach to patent documents. Different levels of importance among technologies based on patent citations and the number of repetitions of each technology class are considered in the proposed approach.


2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.


2017 ◽  
Vol 6 (1) ◽  
pp. 48-63 ◽  
Author(s):  
Jeroen De Waegemaeker ◽  
Eva Kerselaers ◽  
Maarten Van Acker ◽  
Elke Rogge

Purpose As policy makers address the issue of climate adaptation, they are confronted with climate-specific barriers: a long-term horizon and a high degree of uncertainty. These barriers also hamper the development of spatial planning for climate adaptation. So how can spatial planners encompass these barriers and steer the general debate on climate adaptation? The paper aims to discuss these issues. Design/methodology/approach This research analyzes the strengths and weaknesses of an international design workshop on climate adaptation, and drought issues in particular. Design workshops are originally an educational setting but they are increasingly employed as a tool to explore alternative futures on a complex, real-life design problem. The case study illustrates how climate-specific barriers emerged throughout the design workshop and clarifies how they were encompassed by the participating design students. Findings The research clarifies the added value of a design workshop on climate adaptation. The paper highlights specific promising characteristics of the design workshop: the visualization of future adaptation challenges and the current water system, the focus on a regional project instead of sectoral adjustments and the integration of the adaptation challenge with other socio-economic goals. In the case study Flanders, however, the necessary participation of climate experts and policy makers of other domains proved challenging. Originality/value The paper argues that a design workshop has the potential to enrich the debate and policy work on climate adaptation. In many countries with low-planning tradition, however, additional tools are needed to help set the “adaptation agenda.”


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Suleiman Dalhatu Sani ◽  
Mustapha Abubakar

Purpose This paper aims to recommend a framework that serves as a practical work tool for conducting risk-based Shari’ah audit (RBSA) in Islamic financial institutions (IFIs). Design/methodology/approach Qualitative research method was used through critical in-depth content analysis of documented literature to generate deep insights, further supported with a hypothetical illustrative case study application of the framework on an Islamic bank, aimed at bringing the framework to a practical, near real-life scenario. Findings A robust RBSA framework has been developed which focuses on Shari’ah non-compliance risks to systematically and practically arrive at a rated opinion on the level of an IFI’s adherence with Shari’ah rules and principles as recommended by the Accounting and Auditing Organization for Islamic Financial Institutions, aimed to safeguard the IFI and promote financial system stability at large. Research limitations/implications Practical realities limited the study to the use of a hypothetical case study bank. Future researchers can apply the framework to a real case study of diverse IFIs for effective contextual recalibration in diverse jurisdictions. Practical implications This paper aids the development of both internal and external Shari’ah audit practice using the risk-based approach. Social implications The RBSA framework contributes to promoting public trust and confidence in the Islamic finance industry. Originality/value This paper has proposed this RBSA framework as a practical work tool for Shari’ah auditors in their engagements and regulators in promoting sound governance and financial system stability. It provides foundation for future researchers in the field.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
İlker Gölcük

PurposeThis paper proposes an integrated IT2F-FMEA model under a group decision-making setting. In risk assessment models, experts' evaluations are often aggregated beforehand, and necessary computations are performed, which in turn, may cause a loss of information and valuable individual opinions. The proposed integrated IT2F-FMEA model aims to calculate risk priority numbers from the experts' evaluations and then fuse experts' judgments using a novel integrated model.Design/methodology/approachThis paper presents a novel failure mode and effect analysis (FMEA) model by integrating the fuzzy inference system, best-worst method (BWM) and weighted aggregated sum-product assessment (WASPAS) methods under interval type-2 fuzzy (IT2F) environment. The proposed FMEA approach utilizes the Mamdani-type IT2F inference system to calculate risk priority numbers. The individual FMEA results are combined by using integrated IT2F-BWM and IT2F-WASPAS methods.FindingsThe proposed model is implemented in a real-life case study in the furniture industry. According to the case study, fifteen failure modes are considered, and the proposed integrated method is used to prioritize the failure modes.Originality/valueMamdani-type singleton IT2F inference model is employed in the FMEA. Additionally, the proposed model allows experts to construct their membership functions and fuzzy rules to capitalize on the experience and knowledge of the experts. The proposed group FMEA model aggregates experts' judgments by using IT2F-BWM and IT2F-WASPAS methods. The proposed model is implemented in a real-life case study in the furniture company.


2020 ◽  
Vol 27 (2) ◽  
pp. 219-236
Author(s):  
Débora Monteiro Moretti ◽  
Flávia Chaves Alves ◽  
José Vitor Bomtempo

PurposeFirms around the world seek new paths to maintain competitiveness and renew their businesses. Although entrepreneurial-orientation (EO) is extensively researched, there is some ambiguity regarding different variables that mediate the effects of such strategy on business performance. Hence, current literature lacks in-depth studies that provide useful tools for companies to implement effective change, in contrast to the quantitative methods normally applied.Design/methodology/approachThrough an in-depth case study, the authors explored whether the implementation of an entrepreneurial-oriented strategy by an incumbent firm in Brazil would renew its business and potentially increase its performance.FindingsThe study showed that performance is achieved when the pervasiveness of EO activities spurs the company's boundaries, promoting not only intraorganizational changes but also multiple-stakeholder engagement.Research limitations/implicationsThis study reinforces the idea that EO alone may not be sufficient to increase firm performance and must be considered more comprehensively. Although case studies always suffer from the problem of generalization, the authors provide a good illustration of a strategy being implemented in a constrained-resource environment.Practical implicationsThis paper contributes to practice by discussing a real-life situation of a small company from an emerging economy.Originality/valueThe authors provide a holistic view of the firm, presenting the managerial changes in a new framework, which combines EO and inward- and outward-looking perspectives.


2020 ◽  
Vol 12 (1) ◽  
pp. 113-132
Author(s):  
Neeraj Kumar Dubey ◽  
Preeti Sharma ◽  
Purnima Sangle

Purpose This paper aims to study the role of the emerging technology landscape and collaborative platforms in customer relationship management (CRM) unravelling novel opportunities for mutual co-creation in Indian banking context. Design/methodology/approach This study used the case-study method for collecting various sources for “triangulation”. Findings The advancement of technology has drastically increased avenues of dialogue and access and brought transparency in the relationship, offering opportunities for co-creation and increased dependence on technology in CRM. A longitudinal approach explained how bank leveraged technology in multiple aspects of CRM for enhancing relationship quality and outcome. Research limitations/implications The study is exploratory in nature in Indian banking context, and thus it should be viewed as a preliminary step in contributing to the understanding of CRM in a new collaborative technology landscape. Practical implications This study explains the changing shape of CRM and provides relevance of customer orientation and offers insight about co-creation which has taken centre stage because of the emergence of collaborative technologies. Originality/value This study is possibly one of the first to conduct a case study to understand the way collaborative technological advancements are being exploited by organisations to develop superior CRM capability and achieve co-creation. This study analysed and comprehended the design and implementation of CRM in an Indian bank in real-life settings to gain a better understanding of the adoption of new collaborative technological advancements by a bank for customer centricity and facilitating co-creation.


2019 ◽  
Vol 20 (3) ◽  
pp. 452-469 ◽  
Author(s):  
Carolyn Susan Hayles

Purpose This paper aims to explore the outputs of an internship programme, one of a number of campus-based sustainability activities that have been introduced at the University of Wales, Trinity Saint David, to encourage student-led campus-based greening initiatives. Design/methodology/approach A case study approach was undertaken, allowing the researcher to investigate the programme in its real-life context. The researcher used multiple sources of evidence to gain as holistic a picture as possible. Findings Interns report positive changes in their behaviours towards sustainability, s well as encouraging feedback on their experiential learning, the development of their soft skills and the creation of new knowledge. Moreover, students communicated perceived benefits for their future careers. The reported outcomes reflect mutually beneficial relationships for student and institution, for example, raising the profile of campus greening activities and supporting the University’s aim to embed sustainability throughout its campus, community and culture. Research limitations/implications The researcher recognises the limitations of the research, in particular, the small sample size, which has resulted primarily in qualitative results being presented. Practical implications Feedback from previous interns will be used to shape future internships. In particular, Institute of Sustainable Practice, Innovation and Resource Effectiveness (INSPIRE) will look for opportunities to work more closely with University operations, departments, faculties and alongside University staff, both academic and support staff. Social implications Following student feedback, INSPIRE will give students opportunities for wider involvement, including an opportunity to propose their own projects to shape future internships that meet the needs of student body on campus. Originality/value Despite being one case study from one institution, the research highlights the value of such programmes for other institutions.


Author(s):  
Seung Ki Moon ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara

Product family design is a cost-effective way to achieve mass customization by allowing highly differentiated products to be developed from a common platform while targeting individual products to distinct market segments. Recent trends seek to apply and extend principles from product family design to new service development. In this paper, we extend concepts from platform-based product family design to create a novel methodology for module-based service family design. The new methodology helps identify a service platform along with variant and unique modules in a service family by integrating service-based process analysis, ontologies, and data mining. A function-process matrix and a service process model are investigated to define the relationships between the service functions and the service processes offered as part of a service. An ontology is used to represent the relationships between functional hierarchies in a service. Fuzzy clustering is employed to partition service processes into subsets for identifying modules in a given service family. The clustering result identifies the platform and its modules using a platform level membership function. We apply the proposed methodology to determine a new platform using a case study involving a family of banking services.


Author(s):  
Jonathan R. A. Maier ◽  
Georges M. Fadel

Abstract The realization that designing products in families can and does have significant technological and economic advantages over traditional single product design has motivated increasing interest in recent years in formal design tools and methodologies for product family design. However, currently there is no guidance for designers in the first key strategic decisions of product family design, in particular determining the type of product family to design. Hence in this paper, first a taxonomy of different types of product families is presented which consists of seven types of product families, categorized based on number of products and time of product introduction. Next a methodology is introduced to aid designers in determining which type of product family is appropriate, based upon early knowledge about the nature of the intended product(s) and their intended market(s). From this information it also follows both which manufacturing paradigm and which fundamental design strategies are appropriate for the product family. Finally the proposed methodology is illustrated through a case study examining a family of whitewater kayaks.


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