Aboozar Jamalnia
aboozar jamalnia

Dr Aboozar Jamalnia

Lecturer

Biography

I am a Lecturer in Operations Management at The School of Business of Edinburgh Napier University. Prior to joining Edinburgh Napier University, I was an Assistant Professor in Operations Management at The Faculty of Management of Kharazmi University, Tehran, Iran. I received my PhD in Operations Management from Alliance Manchester Business School (where I was awarded a four-year, full scholarships) in 2017 and my MSc in Industrial Management - Production and Operations Management from Shiraz University, Shiraz, Iran in 2008.

I have extensive experience in teaching different Operations Management and Operations Research courses at both undergraduate and postgraduate levels, from several years before beginning my PhD, during my PhD study and after the PhD.

My current research interests lie at the interface between Operations Management and Operations Research. My research works utilise Operations Research techniques such as mathematical programming (stochastic and deterministic), simulation (system dynamics and discrete event simulation), risk analysis using Bayesian networks, and BPMN (Business Process Model and Notation) to model and analyse Operations Management problems in order to provide managerial insights to decision makers. The Operations Management problems studied in my research works include the policies for extending sustainability to sub-suppliers in multi-tier supply chains, Industry 4.0 technologies adoption to healthcare supply chain management, and production planning and control.

My recent research papers have been published in journals such as International Journal of Production Economics, Production Planning & Control, Computers & Industrial Engineering, Journal of Manufacturing Systems and The International Journal of Advanced Manufacturing Technology.

Date


9 results

A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain

Journal Article
Jamalnia, A., Gong, Y., Govindan, K., Bourlakis, M., & Mangla, S. K. (2023)
A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain. International Journal of Production Economics, 264, Article 108960. https://doi.org/10.1016/j.ijpe.2023.108960
Lower-tier suppliers' sustainability noncompliance and focal company's failure at meeting the expectations of the stakeholders to extend sustainability towards lower-tier supp...

Sub-supplier's sustainability management in multi-tier supply chains: A systematic literature review on the contingency variables, and a conceptual framework

Journal Article
Jamalnia, A., Gong, Y., & Govindan, K. (2023)
Sub-supplier's sustainability management in multi-tier supply chains: A systematic literature review on the contingency variables, and a conceptual framework. International Journal of Production Economics, 255, Article 108671. https://doi.org/10.1016/j.ijpe.2022.108671
Sub-suppliers may violate sustainability standards for a variety of motivations, and focal firms' neglecting of sub-suppliers’ sustainability violation despite stakeholder pre...

A Bibliometric Review of Two Decades’ Research on Closed-Loop Supply Chain: 2001-2020

Journal Article
Guan, G., Jiang, Z., Gong, Y., Huang, Z., & Jamalnia, A. (2021)
A Bibliometric Review of Two Decades’ Research on Closed-Loop Supply Chain: 2001-2020. IEEE Access, 9, 3679-3695. https://doi.org/10.1109/access.2020.3047434
The closed-loop supply chain (CLSC) is generally regarded as an environmentally friendly approach that can help in reducing environmental impacts and achieving sustainable dev...

Evaluating the performance of aggregate production planning strategies under uncertainty in soft drink industry

Journal Article
Jamalnia, A., Yang, J., Xu, D., Feili, A., & Jamali, G. (2019)
Evaluating the performance of aggregate production planning strategies under uncertainty in soft drink industry. Journal of Manufacturing Systems, 50, 146-162. https://doi.org/10.1016/j.jmsy.2018.12.009
The present study is to evaluate the performance of different aggregate production planning (APP) strategies in presence of uncertainty. Therefore, the relevant models for APP...

Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions

Journal Article
Jamalnia, A., Yang, J., Feili, A., Xu, D., & Jamali, G. (2019)
Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions. International Journal of Advanced Manufacturing Technology, 102(1-4), 159-181. https://doi.org/10.1007/s00170-018-3151-y
This is the first literature survey of its kind on aggregate production planning (APP) under uncertainty. Different types of uncertainty, such as stochasticity, fuzziness and ...

Novel decision model based on mixed chase and level strategy for aggregate production planning under uncertainty: Case study in beverage industry

Journal Article
Jamalnia, A., Yang, J., Xu, D., & Feili, A. (2017)
Novel decision model based on mixed chase and level strategy for aggregate production planning under uncertainty: Case study in beverage industry. Computers and Industrial Engineering, 114, 54-68. https://doi.org/10.1016/j.cie.2017.09.044
The present study proposes a novel decision model to aggregate production planning (APP) decision making problem based on mixed chase and level strategy under uncertainty wher...

An integrated fuzzy QFD and fuzzy goal programming approach for global facility location-allocation problem

Journal Article
Jamalnia, A., Mahdiraji, H. A., Sadeghi, M. R., Hajiagha, S. H. R., & Feili, A. (2014)
An integrated fuzzy QFD and fuzzy goal programming approach for global facility location-allocation problem. International Journal of Information Technology and Decision Making, 13(2), 263-290. https://doi.org/10.1142/s0219622014500400
Companies pursuing extension of their activities and new companies in establishment phase are using various concepts and techniques to consider location decision, because loca...

A simulation testing and analysis of aggregate production planning strategies

Journal Article
Jamalnia, A., & Feili, A. (2013)
A simulation testing and analysis of aggregate production planning strategies. Production Planning and Control, 24(6), 423-448. https://doi.org/10.1080/09537287.2011.631595
In this study, a hybrid discrete event simulation (DES) and system dynamics (SD) methodology is applied to model and simulate aggregate production planning (APP) problem for t...

A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning

Journal Article
Jamalnia, A., & Soukhakian, M. A. (2009)
A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning. Computers and Industrial Engineering, 56(4), 1474-1486. https://doi.org/10.1016/j.cie.2008.09.010
In this study a hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be ...