This page has only limited features, please log in for full access.
Dr Sayyed Shoaib-ul-Hasan is a Postdoc Researcher at the Production Engineering Department at KTH Royal Institute of Technology Stockholm. He holds a B.Sc. in Industrial Engineering and Management (University of Punjab, Pakistan) and an M.Sc. in Industrial Engineering (Dongguk University Seoul, South Korea). He holds a PhD in Management Economics and Industrial Engineering from Politecnico di Milano and a PhD (Cum Laude) in Industrial Management from Universidad Politécnica de Madrid. Sayyed is mainly working for the Circular Economy initiative at KTH – [email protected] (https://www.kth.se/ce) and H2020 project ReCiPSS (https://www.recipss.eu/). As part of the [email protected] initiative, his current research is focused on developing methods, decision support tools, and capabilities needed for successful implementation of Circular Manufacturing Systems that are designed intentionally for closing the loop of components/products preferably in their original form, through multiple lifecycles. In particular, Sayyed is interested in investigating the idea of routine-based circular capabilities of manufacturing systems supported with circular economy-oriented product information management system from cradle to cradle.
Life cycle assessment (LCA) is used frequently as a decision support tool for evaluating different design choices for products based on their environmental impacts. A life cycle usually comprises several phases of varying timespans. The amount of emissions generated from different life cycle phases of a product could be significantly different from one another. In conventional LCA, the emissions generated from the life cycle phases of a product are aggregated at the inventory analysis stage, which is then used as an input for life cycle impact assessment. However, when the emissions are aggregated, the temporal variability of inventory data is ignored, which may result in inaccurate environmental impact assessment. Besides, the conventional LCA does not consider the environmental impact of circular products with multiple use cycles. It poses difficulties in identifying the hotspots of emission-intensive activities with the potential to mislead conclusions and implications for both practice and policy. To address this issue and to analyze the embedded temporal variations in inventory data in a CE context, the paper proposes calculating the emission intensity for each life cycle phase. It is argued that calculating and comparing emission intensity, based on the timespan and amount of emissions for individual life cycle phases, at the inventory analysis stage of LCA offers a complementary approach to the traditional aggregate emission-based LCA approach. In a circular scenario, it helps to identify significant issues during different life cycle phases and the relevant environmental performance improvement opportunities through product, business model, and supply chain design.
Sayyed Shoaib-Ul-Hasan; Malvina Roci; Farazee Asif; Niloufar Salehi; Amir Rashid. Analyzing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy. Sustainability 2021, 13, 344 .
AMA StyleSayyed Shoaib-Ul-Hasan, Malvina Roci, Farazee Asif, Niloufar Salehi, Amir Rashid. Analyzing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy. Sustainability. 2021; 13 (1):344.
Chicago/Turabian StyleSayyed Shoaib-Ul-Hasan; Malvina Roci; Farazee Asif; Niloufar Salehi; Amir Rashid. 2021. "Analyzing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy." Sustainability 13, no. 1: 344.
Life cycle assessment (LCA) is used frequently as a decision support tool for evaluating different design choices of products based on their environmental impacts. A life cycle usually comprises several phases of varying timespan. The amount of emissions generated from different life cycle phases of a product could be significantly different from one another. In conventional LCA, the emissions generated from the life cycle phases of a product are aggregated at the inventory analysis stage, which is then used as an input for life cycle impact assessment. However, when the emissions are aggregated, the temporal variability of inventory data is ignored, which may result in inaccurate environmental impact assessment. Besides, the conventional LCA does not consider the environmental impact of circular products with multiple use cycles. It poses difficulties in identifying the hotspots of emission-intensive activities with the potential to mislead conclusions and implications for both practice and policy. To address this issue and to analyse the embedded temporal variations in inventory data in a CE context, the paper proposes to calculate the emission intensity for each life cycle phase. It is argued that calculating and comparing emission intensity, based on the timespan and amount of emissions for individual life cycle phases, at the inventory analysis stage of LCA offers a complementary approach to the traditional aggregate emission-based LCA approach. In a circular scenario, it helps to identify significant issues during different life cycle phases and the relevant environmental performance improvement opportunities through product, business model and supply chain design.
Sayyed Shoaib-Ul-Hasan; Malvina Roci; Farazee Mohammad Abdullah Asif; Niloufar Salehi; Amir Rashid. Analysing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy. 2020, 1 .
AMA StyleSayyed Shoaib-Ul-Hasan, Malvina Roci, Farazee Mohammad Abdullah Asif, Niloufar Salehi, Amir Rashid. Analysing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy. . 2020; ():1.
Chicago/Turabian StyleSayyed Shoaib-Ul-Hasan; Malvina Roci; Farazee Mohammad Abdullah Asif; Niloufar Salehi; Amir Rashid. 2020. "Analysing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy." , no. : 1.
Enes Ünal; Sayyed Shoaib-Ul-Hasan; Simon Okwir. Industry 4.0-Led Circular Business Model Innovation: Creating Economic- Environmental-Social Value. Academy of Management Proceedings 2020, 2020, 1 .
AMA StyleEnes Ünal, Sayyed Shoaib-Ul-Hasan, Simon Okwir. Industry 4.0-Led Circular Business Model Innovation: Creating Economic- Environmental-Social Value. Academy of Management Proceedings. 2020; 2020 (1):1.
Chicago/Turabian StyleEnes Ünal; Sayyed Shoaib-Ul-Hasan; Simon Okwir. 2020. "Industry 4.0-Led Circular Business Model Innovation: Creating Economic- Environmental-Social Value." Academy of Management Proceedings 2020, no. 1: 1.
Sayyed Shoaib-Ul-Hasan. The pursuit of responsiveness in high variety manufacturing environments : Towards building the Dynamic Response Capabilities. 2018, 1 .
AMA StyleSayyed Shoaib-Ul-Hasan. The pursuit of responsiveness in high variety manufacturing environments : Towards building the Dynamic Response Capabilities. . 2018; ():1.
Chicago/Turabian StyleSayyed Shoaib-Ul-Hasan. 2018. "The pursuit of responsiveness in high variety manufacturing environments : Towards building the Dynamic Response Capabilities." , no. : 1.
This research focuses on responsiveness in high variety manufacturing environments. To achieve it, the article proposes to develop Dynamic Response Capabilities (DRCs) of the manufacturing system defined as the abilities to readjust the planned operating parameters of workload, capacity, and lead time, in the wake of disturbances. To inform their development, built on the Workload Control theory, a routine-based framework is proposed. The framework supports an integrated approach for the implementation of adaptive decision-making routines for workload, capacity, and lead time readjustments at different stages in the order fulfilment process. Findings from two empirical cases show the appropriateness of the framework to develop and utilise DRCs in different settings of disturbances. Results of a simulation study, with one of the case companies, also shows the effectiveness of the framework to drive performance improvements in presence of recurring disturbances leading to demand variability.
Sayyed Shoaib-Ul-Hasan; Marco Macchi; Alessandro Pozzetti; Ruth Carrasco-Gallego. A routine-based framework implementing workload control to address recurring disturbances. Production Planning & Control 2018, 29, 943 -957.
AMA StyleSayyed Shoaib-Ul-Hasan, Marco Macchi, Alessandro Pozzetti, Ruth Carrasco-Gallego. A routine-based framework implementing workload control to address recurring disturbances. Production Planning & Control. 2018; 29 (11):943-957.
Chicago/Turabian StyleSayyed Shoaib-Ul-Hasan; Marco Macchi; Alessandro Pozzetti; Ruth Carrasco-Gallego. 2018. "A routine-based framework implementing workload control to address recurring disturbances." Production Planning & Control 29, no. 11: 943-957.
The aim of this research is to study production responsiveness in Small and Medium Enterprises (SMEs) in Italy. Responsiveness is considered as the ability of a production system to achieve its goals in the presence of disturbances. The main issue this research tries to address is “how responsiveness can be achieved in production environments facing recurring uncertain disturbances in demand?” This research is particularly focused on the “worker flexibility” as a lever to achieve responsiveness. In this regard, alternative control logics for decision-making, regarding use of workers with varying levels of flexibility, have been evaluated through simulation for their potential impact on production responsiveness. It is found that, contrary to general belief, higher flexibility does not always guarantee higher responsiveness; it is the right level of flexibility combined with the proper decision-making logic which leads to higher production performance in the face of recurring uncertain disturbances.
Sayyed Shoaib-Ul-Hasan; Marco Macchi; Alessandro Pozzetti. Pursuit of Responsiveness in SMEs Through Dynamic Allocation of Flexible Workers: A Simulation Study. Collaboration in a Hyperconnected World 2016, 154 -161.
AMA StyleSayyed Shoaib-Ul-Hasan, Marco Macchi, Alessandro Pozzetti. Pursuit of Responsiveness in SMEs Through Dynamic Allocation of Flexible Workers: A Simulation Study. Collaboration in a Hyperconnected World. 2016; ():154-161.
Chicago/Turabian StyleSayyed Shoaib-Ul-Hasan; Marco Macchi; Alessandro Pozzetti. 2016. "Pursuit of Responsiveness in SMEs Through Dynamic Allocation of Flexible Workers: A Simulation Study." Collaboration in a Hyperconnected World , no. : 154-161.
With an aggressive economic competition on a global scale, more educated and demanding customers, and a rapid pace of change in process technology, responsiveness in manufacturing is becoming a key competitive advantage. The present paper examines how responsiveness can be achieved in SMEs operating according to an Assemble to Order strategy. The framework – proposed starting from literature analysis and tested through a first case study – will be used in future works to drive a systematic analysis of responsiveness in SMEs.
Sayyed Shoaib-Ul-Hasan; Marco Macchi; Alessandro Pozzetti; Ruth Carrasco-Gallego. Achieving Responsiveness in Small and Medium-Sized Enterprises through Assemble To Order Strategy. Transactions on Petri Nets and Other Models of Concurrency XV 2014, 208 -215.
AMA StyleSayyed Shoaib-Ul-Hasan, Marco Macchi, Alessandro Pozzetti, Ruth Carrasco-Gallego. Achieving Responsiveness in Small and Medium-Sized Enterprises through Assemble To Order Strategy. Transactions on Petri Nets and Other Models of Concurrency XV. 2014; ():208-215.
Chicago/Turabian StyleSayyed Shoaib-Ul-Hasan; Marco Macchi; Alessandro Pozzetti; Ruth Carrasco-Gallego. 2014. "Achieving Responsiveness in Small and Medium-Sized Enterprises through Assemble To Order Strategy." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 208-215.
Anhtuan Tran; Sayyed Shoaib-Ul-Hasan; Joon-Young Park. Crowd Participation Pattern in the Phases of a Product Development Process that Utilizes Crowdsourcing. Industrial Engineering & Management Systems 2012, 11, 266 -275.
AMA StyleAnhtuan Tran, Sayyed Shoaib-Ul-Hasan, Joon-Young Park. Crowd Participation Pattern in the Phases of a Product Development Process that Utilizes Crowdsourcing. Industrial Engineering & Management Systems. 2012; 11 (3):266-275.
Chicago/Turabian StyleAnhtuan Tran; Sayyed Shoaib-Ul-Hasan; Joon-Young Park. 2012. "Crowd Participation Pattern in the Phases of a Product Development Process that Utilizes Crowdsourcing." Industrial Engineering & Management Systems 11, no. 3: 266-275.