Collaborative on-demand Product-Service Systems customization lifecycle

Papazoglou, Michael P.; Elgammal, Amal; Krämer, Bernd J.

doi:10.1016/j.cirpj.2018.08.003

Cited by 26 publications

(19 citation statements)

References 30 publications

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“…They do not consider the structural and quality characteristics of the product itself as a PSS component. In [ 44 ], a recommendation framework was proposed to support the various processes of the PSS customization lifecycle described in [ 4 ]. A set of recommendation capabilities are identified for each process while considering the various stakeholders’ perspectives.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed DW model for products’ usage incidents was built using SQL Server Management Studio (SSMS) version 2012. We reused implementations of the manufacturing blueprints knowledge base from our previous work [ 4 ] and extended them with the manufacturing blueprints extensions provided in Section 5 .…”

Section: Implementation and Evaluationmentioning

confidence: 99%

“…PSSs provide a combined product and service offering that adds value while the product is in use. Moreover, they make certain that the customer’s usage experience does not only end with the purchase but extends much further [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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A Data Warehouse-Based System for Service Customization Recommendations in Product-Service Systems

Esheiba

Helal

Elgammal

et al. 2022

Sensors

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Nowadays, manufacturers are shifting from a traditional product-centric business paradigm to a service-centric one by offering products that are accompanied by services, which is known as Product-Service Systems (PSSs). PSS customization entails configuring products with varying degrees of differentiation to meet the needs of various customers. This is combined with service customization, in which configured products are expanded by customers to include smart IoT devices (e.g., sensors) to improve product usage and facilitate the transition to smart connected products. The concept of PSS customization is gaining significant interest; however, there are still numerous challenges that must be addressed when designing and offering customized PSSs, such as choosing the optimum types of sensors to install on products and their adequate locations during the service customization process. In this paper, we propose a data warehouse-based recommender system that collects and analyzes large volumes of product usage data from similar products to the product that the customer needs to customize by adding IoT smart devices. The analysis of these data helps in identifying the most critical parts with the highest number of incidents and the causes of those incidents. As a result, sensor types are determined and recommended to the customer based on the causes of these incidents. The utility and applicability of the proposed RS have been demonstrated through its application in a case study that considers the rotary spindle units of a CNC milling machine.

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Section: Related Workmentioning

confidence: 99%

Section: Implementation and Evaluationmentioning

confidence: 99%

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A Data Warehouse-Based System for Service Customization Recommendations in Product-Service Systems

Esheiba

Helal

Elgammal

et al. 2022

Sensors

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“…Also, process management is one of the most important factors in terms of identifying non-value-adding activities and increasing quality (Al-Najem et al, 2013). A business that have a standard workflow system and produces the desired product at the required time is said to have an effective process management that can serve as a foundation for lean deployment (Papazoglou, Elgammal, & Krämer, 2018). This is because having such effective processes within an organization can create a compatibility with lean tools like just in time (JIT) which in turn will also aid in achieving the principles of lean concerned with maximizing flow and waste elimination (Toivonen, 2015).…”

Section: Process Managementmentioning

confidence: 99%

Lean Readiness Factors and Organizational Readiness for Change in Manufacturing Smes: The Role of Organizational Culture

2020

jcr

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Implementation of lean in manufacturing small and medium enterprises (SMEs) remains a serious challenge as many SMEs have failed at an early stage of lean deployment. Previous findings have concluded that manufacturing SMEs a lagging behind in terms implementing lean manufacturing and reaping its full benefits due to lack of effective lean pre-implementation framework to assess and SMEs readiness for change before deploying lean manufacturing. Similarly, there is a lack of lean manufacturing buy-in and low level of implementation among manufacturing SMEs remains in Nigeria. Coupled with the fact that research on lean manufacturing within SMEs is still a dearth in Nigeria and other developing countries at large. This study, therefore, proposes an effective framework for assessing lean readiness factors to organizational readiness for change with organisational culture as a mediator prior lean deployment among manufacturing SMEs in Nigeria. The aim of the study is to evaluate lean readiness factors that include; leadership, commitment, employee involvement, planning & control, process management, supplier relations and customer relations to organizational readiness to change to lean so as to evaluate whether manufacturing SMEs have the prerequisite quality practices, organizational culture and foundation needed to deploy lean. The study is based on a conceptual review of published literatures from various scholarly articles and reputable publications. The proposed lean readiness framework will serve as a comprehensive model for assessing manufacturing SMEs related quality practices prior lean deployment in order to be successful during full lean implementation. It will also be of great importance to both SMEs, researchers, governments and agencies towards promoting better quality practices in manufacturing SMEs.

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“…Reviewing the main modules involved in product-service systems (PSS) stated by [23], which are: (i) PSS requirements elicitation. (ii) PSS configuration and customization (ii) Production planning (iii) Production execution.…”

Section: Proposed Frameworkmentioning

confidence: 99%

Efficient Production Monitoring on the Basis of Domain Ontologies by Utilizing IoT

Riad

Elgammal

Elzanfaly

2019

Communication Papers of the 2019 Federated Conference on Computer Science and Information Systems

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The Internet-of-Things (IoT) technologies and cyber-physical systems has facilitated production monitoring and control. However, researches and applications still lack a standardized framework and an integrated technological solution that can maximize the leverage of real-time monitoring. This can be achieved through enabling data transfer and exchange between all entities/organizations in supply chains and accordingly utilizing the monitored data. This paper introduces a framework for production monitoring that utilizes and integrates ontological model, which implements and integrates Semantic Sensor Network (SSN) ontology with production monitoring services. In addition, Complex Event Processing is integrated in the proposed model to enable event patterns identification and undertake the appropriate (proactive) action accordingly. The framework is constructed based on ISA-95 and SCOR standards. The utility, applicability and efficacy of the proposed framework is validated by its application on a real-life large-scale case study in the domain of laser cutting machines.

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Collaborative on-demand Product-Service Systems customization lifecycle

Cited by 26 publications

References 30 publications

A Data Warehouse-Based System for Service Customization Recommendations in Product-Service Systems

A Data Warehouse-Based System for Service Customization Recommendations in Product-Service Systems

Lean Readiness Factors and Organizational Readiness for Change in Manufacturing Smes: The Role of Organizational Culture

Efficient Production Monitoring on the Basis of Domain Ontologies by Utilizing IoT

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