Mehdi Sharifyazdi

Hormozi, Mohammad Ali; Zaki Dizaji, Hassan, Bahrami, Hoshang, Sharifyazdi, Mehdi & Monjazi, Nasim (2023)

Multi-objective optimization of allocating sustainable mechanization for spraying and harvesting systems in paddy fields

Iranian Journal of Biosystems Engineering, 53(4), s. 357- 378. Doi: 10.22059/IJBSE.2023.346979.665495

Sharifyazdi, Mehdi; Navangul, Kautsubh Anil, Gharehgozli, Amir & Jahre, Marianne (2018)

On- and offshore prepositioning and delivery mechanism for humanitarian relief operations

International Journal of Production Research, 56(18), s. 6164- 6182. Doi: 10.1080/00207543.2018.1477260

Traditionally, international humanitarian organisations have used on-demand dispatch of disaster relief goods from regional logistics units (RLUs) for sudden onset disaster response. This paper investigates the improvements in efficiency and resilience of disaster relief operations by combining the existing method of onshore prepositioning of relief items in RLUs with offshore prepositioning of relief items on-board vessels and at seaport terminals. The problem is formulated as a linear programming model that incorporates different logistical costs, including inventory cost, replenishment cost, and transportation cost, to find the best combination of disaster relief methods. At the tactical level, the model determines how much and where disaster relief items need to be prepositioned. At the operational level, the model addresses how much and by which mode of transport the disaster relief items need to be transported to disaster points. The model is tested on 16 major disasters in Southeast Asia. The main finding is that offshore prepositioning can contribute to cost reduction and resilience without compromising on the speed or the scale of the response. The results also suggest that the benefits depend on the duration of the disaster emergency period and the ratio of offshore storage cost to onshore storage cost.

Sharifyazdi, Mehdi & Flygansvær, Bente M. (2015)

Dynamic routing in reverse logistics : the effect of sensors in waste containers on uncertainty

Jæger, Bjørn (red.). NOFOMA 2015 : Post Conference Proceedings, Molde, 3-5 June 2015, Nordic Logistics Research Network

Reverse logistics systems are characterized with inherent uncertainties from supply and demand. Therefore, tools and planning methods must be developed to cope with these uncertainties and at the same time reduce cost and increase service and predictability. This paper develop a dynamic method for vehicle routing in waste collection. In particular, we evaluate the effect of availability of fill-rate data provided by sensors in waste containers. Keywords: Reverse logistics, Uncertainty, Vehicle Routing, Dynamic routing, Waste containers.

Molamohamadi, Zohreh; Sharifyazdi, Mehdi, Arshizadeh, Rahman, Jafari, Azizollah & Ismail, Napsiah (2013)

Determining consignment inventory strategy for a vendor and multiple buyers using a hybrid metaheuristic algorithm

Production & Manufacturing Research, 1(1), s. 65- 78. Doi: 10.1080/21693277.2013.858377

Modarres, Mohammad; Zaefarian, Tahereh & Sharifyazdi, Mehdi (2012)

Stochastic capacity allocation, revenue management approach: the existence of modularity property

The International Journal of Advanced Manufacturing Technology, 60(5-8), s. 707- 722. Doi: 10.1007/s00170-011-3631-9

Sharifyazdi, Mehdi (2022)

Preventive and mitigative contingency planning for dynamic single-item stochastic lot-sizing

[Academic lecture]. The 12th THE INTERNATIONAL WORKSHOP ON LOT SIZING.

Flygansvær, Bente Merete & Sharifyazdi, Mehdi (2022)

Exploring service as a mechanism to close the loop in supply chains: An ABC classification approach

[Academic lecture]. The 34th ANNUAL NOFOMA CONFERENCE.

Sharifyazdi, Mehdi; Bagherpour, Matin, Anfinsen, Erlend & Klauser-Baumgärtner, Moritz Georg (2022)

An Evolutionary Algorithm for Bidding Strategies of Linked Block Orders in Day-Ahead Power Markets

[Academic lecture]. International Conference on Operations Research - OR 2022.

Sharifyazdi, Mehdi; Flygansvær, Bente Merete & Hammervoll, Trond (2019)

Closing the loop in circular supply chains management: An ABC analysis approach

[Academic lecture]. NOFOMA 2019.

Rezaeiahari, Mandana & Sharifyazdi, Mehdi (2016)

CONSIGNMENT INVENTORY MODEL FOR A THREE ECHELON SUPPLY CHAIN

[Academic lecture]. NOFOMA 2016.