钱德拉· 伊万 博士 诺丁汉大学商学院（中国）运营管理学副教授
宁波诺丁汉大学



联系方式 办公室
行政楼356室

校园
宁波诺丁汉大学

地址
浙江省宁波市鄞州区泰康东路199号

电话
+86 (0)574 8818 0000 转 8708

邮箱
chandra.irawan@nottingham.edu.cn



学历
博士学位 （肯特大学）
硕士学位（万隆理工学院）
学士学位（万隆理工学院）

个人简介
钱德拉·伊拉万(Chandra Irawan)于2017年9月进入宁诺商学院，担任运营管理副教授。他曾在《欧洲运筹学杂志》、《计算机与运筹学》、《启发学杂志》、《运筹学年鉴》等国际知名期刊上发表著作。在就任宁波诺丁汉大学之前，伊拉万曾在英国朴茨茅斯大学数学系做了3年的研究员，参与了Leanwind项目(欧盟第七框架计划项目)。该项目旨在降低海上风电场的安装、运营和维护成本。期间，他还开发了数学模型和解决方法，以优化海上风力发电场的供应链和维护调度问题。在英国肯特大学(University of Kent)肯特商学院(Kent Business School)攻读博士期间，他还担任过过助教。此外，在进入学术界之前，伊拉万作为一名工程师在汽车和采矿行业工作了3年。


教学
本科课程商务操作介绍
质量管理
物流和供应链管理
管理数字企业中的操作
研究生课程实践中的供应链管理


研究方向
钱德拉的专长是管理科学和运筹学。他的主要研究兴趣是组合优化，它应用于供应链优化，设施选址问题和可再生能源(海上风电场和生物质能)。在钱德拉的研究中，为了得到最优解，他建立了处理这些问题的数学模型。此外，他还设计了采用启发式和精确方法相结合的求解方法。


奖项 / 专利
“Research and development of smart supply chains in Ningbo"; RMB 1,000,000; Pan 3315 Innovation Team Scheme, one of the investigators (Co-I).
NUBS China Outstanding Research Support Scheme (ORSS). 2017/18 – 2018/2019 – 2019/2020 – 2020/2021
Funding Body: British Council (Newton Fund) / FAPESP (2017)
Scheme: Mobility and Young Investigator Awards
Title: The use of extended goal programming network for strategic energy planning in Brazil.
Award Value: R$16,893.82 (approx. £4331 at date awarded)


发表文章
Irawan C.A., Hofman, P., Chan, H., Paulraj, A. (2021). A stochastic programming model for an energy planning problem: Formulation, solution method and application. Annals of Operations Research, https://doi.org/10.1007/s10479-020-03904-1 (ABS level 3).
Irawan C.A., Eskandarpour, M., Ouelhadj D., Jones D. (2021). Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm. (European Journal of Operational Research, 289(3), 912-926, ABS level 4).
Florentino, H.O, Jones, D.F., Irawan, C.A., Ouelhadj, D., Khosravi, B, Cantane, D.R. (2020). An optimization model for combined selecting, planting and harvesting sugarcane varieties. Annals of Operations Research, https://doi.org/10.1007/s10479-020-03610-y (ABS level 3).
Irawan, C.A., Salhi, S., Soemadi, K. (2020). The continuous single-source capacitated multi-facility Weber problem with setup costs: Formulation and solution methods. (Journal of Global Optimization, 78, 271–294; IF: 805)
Irawan C.A., Imran A., & Luis M. (2020). Solving the bi-objective capacitated p-median problem with multilevel capacities using compromise programing and VNS. International Transactions in Operational Research, 27, 361-380. (ABS level 1).
Irawan C.A., Wall, G., & Jones D. (2019). An optimisation model for scheduling the decommissioning of an offshore wind farm. OR Spectrum, 41(2), 513–548 (ABS level 3).
Irawan C.A., Luis M., Salhi, S., Imran A., (2019). The Incorporation of fixed cost and multilevel capacities into the discrete and continuous single source capacitated facility location problem. Annals of Operations Research, 2019, 275(2), 367-392, (ABS level 3).
Irawan C.A., & Jones D. (2019). Formulation and solution of a two-stage capacitated facility location problem with multilevel capacities. Annals Operations Research, 272, 41–67 (ABS level 3).
Obal, T., Irawan, C. Jones, D., Ouelhadj, D., Florentino, H., Volpi, N., Gevert, V., & Wilhelm, V. (2019). Development and evaluation of matheuristics for the combined beam angle and dose distribution problem in radiotherapy planning. IMA Journal of Management Mathematics, 30, 413-430, ABS level 2.
Luis M., Irawan C.A., & Imran A. (2019). A two-stage method for the Capacitated Multi-Facility Location-Allocation Problem. International Journal of Operational Research, 35, 366 - 377 (ABS level 1).
F Devoy McAuliffe, K Lynch, I B Sperstad, L M Nonås, E E Halvorsen-Weare, D Jones, N Akbari, G Wall, C Irawan, I Norstad, M Stålhane and J Murphy. (2018). The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms. Journal of Physics: Conf. Series, 1104, 012002.
Irawan C.A., Akbari N., Jones D., & Menachof, D. (2018). A combined supply chain optimisation model for the installation phase of offshore wind projects. International Journal of Production Research, 56(3), 1189-1207. (ABS level 3).
Florentino, H., Irawan C.A., Cantane, D., Jones, D., Filho, A.A., Nervis, J.J. (2018). A multiple objective methodology for sugarcane harvest management with varying maturation periods. Annals of Operations Research, 267, 153–177 (ABS level 3).
Irawan C.A., Soemadi, K. (2018). The discrete capacitated p-centre problem with the presence of fixed cost and multilevel capacities. Yugoslav Journal of Operations Research, 28(4), 453-473.
Irawan C. A., Salhi S., Luis M., Azizi N. (2017). The continuous single source location problem with capacity and zone-dependent fixed cost: Models and solution approaches. European Journal of Operational Research, 263, 94–107. (ABS level 4).
Irawan C.A., Song X., Jones D., & Akbari N. (2017). Layout optimisation for an installation port of an offshore wind farm. European Journal of Operational Research, 259, 67-83. (ABS level 4).
Irawan C.A., Ouelhadj D., Jones D., Stålhane, M., Sperstad, I.B. (2017). Optimisation of maintenance routing and scheduling for offshore wind farms. European Journal of Operational Research, 256, 76–89. (ABS level 4).
Irawan C.A., Jones D., & Ouelhadj D. (2017). Bi-objective optimisation model for installation scheduling in offshore wind farms. Computers and Operations Research, 78, 393–407. (ABS level 3).
Akbari N., Irawan C.A., Jones D., & Menachof, D. (2017). A multi-criteria port suitability assessment for development in the offshore wind industry. Renewable Energy, 102, 118-133. (IF: 6.274).
Irawan C.A., Salhi S., & Drezner, Z. (2016). Hybrid meta-heuristics with VNS and exact methods: application to large unconditional and conditional vertex p-centre problems. Journal of Heuristics, 22, 507–537. (ABS level 3)
Salhi S., & Irawan C.A. (2015). A quadtree-based allocation for large location problems. Computers and Operations Research, 55, 23–35. (ABS level 3)
Irawan C.A., & Salhi S. (2015). Solving large p-median problems by a multistage hybrid approach using demand points aggregation and variable neighbourhood search. Journal of Global Optimization, 63, 537-554. (IF: 1.805)
Irawan C.A., & Salhi S. (2015). Aggregation and non-aggregation techniques for large facility location problems – A survey. Yugoslav Journal of Operations Research, 25, 1-11.
Irawan C.A., Salhi S., & Scaparra, M.P. (2014). An Adaptive Multiphase Approach for Large Unconditional and Conditional p-Median Problems. European Journal of Operational Research, 237, 590–605. (ABS level 4)