Behzad Maleki Vishkaei

• PhD
• Bocconi University

This paper aims to assess the effectiveness of the impact of the Account-Based Marketing (ABM) approach in enhancing stakeholder engagement and communication for sustainability and resilience initiatives in the domain of Operations and Supply Chain Management. We employ exploratory research in assessing the following five key factors: benchmarking,...

This research examines smart mobility, specifically focusing on e-scooters as a mode of urban transportation. It underscores the advantages of e-scooters in smart cities while also addressing the issues stemming from incorrect riding practices. To understand the strategies of both cities and e-scooter companies, the study adopts a game theory appro...

The Product-as-a-Service (PaaS) model offers the opportunity to implement circular actions such as repairing, reusing, collecting end-of-life products, and recycling. However, adopting circular practices causes more complexities in managing the inventory flow due to repetitive product subscriptions. Accordingly, this paper aims to optimise a PaaS m...

To what extent do sustainability initiatives adopted by companies, in compliance with the Global Reporting Initiative (GRI), promote economic resilience? This study analyzes and compares the resilience of SMEs and large companies in Italy, examining the relationships between sustainability indicators according to the GRI taxonomy and the relative e...

This study examines how smart food‐sharing platforms (SFSP) can help reduce food waste and suggests a method for using smart contracts to share extra food among different partners effectively. For smart contracts to work automatically and prevent food wastage, artificial intelligence systems can recognize how smart clauses should be executed. This...

Purpose This paper aims to use Bayesian network (BN) methodology complemented by machine learning (ML) and what-if analysis to investigate the impact of digital technologies (DT) on logistics service quality (LSQ), employing the service quality (SERVQUAL) framework. Design/methodology/approach Using a sample of 244 Italian firms, this study estima...

Background: Business continuity entails the potential negative consequences of uncertainty on a firm’s ability to achieve strategic objectives. The COVID-19 pandemic significantly impacted business continuity due to lockdowns, travel restrictions, and social distancing measures. Consequently, firms adopted specific supply chain (SC) practices to ef...

The Sustainable Operations and Supply Chain (SOSC) Monitor is a branch of the Sustainability Lab of SDA Bocconi School of Management, focused on scientific and applied research in the management of sustainable operations and supply chains. Supported by the vision of the DIR-Claudio Dematté Research Division at SDA Bocconi, the SOSC Monitor helps co...

This study presents a risk management framework for e-commerce platform firms to identify and prioritize risks, and devise action plans to mitigate them. E-commerce platforms can use the framework as an efficient decision-support tool for recognizing and managing risks. To analyze e-commerce risks from a platform firm point of view, we apply a fuzz...

Purpose This study analyzes how tech firms can implement the modern wave of subscription-based business model (SBBM), including value proposition, value creation, value capture and performance. In fact, these elements push tech firms to move from traditional to SBBMs. Design/methodology/approach To achieve the objectives of this study, we initiall...

Background: This study investigates how firms can enhance the functionality of their circular supply chains (CSCs) by adopting a portfolio of sustainable practices as well as digital technologies to increase performance. It analyzes the benefits that firms can obtain when investing in specific technologies to boost the impact of technologies and su...

In this article, we study a load-dependent vehicle routing problem (LDVRP) to devise a delivery plan for vehicles carrying various types of products (with different quality and rejection rates) to deliver at the lowest cost and environmental impact. Therefore, this study develops a multidepot, multiproduct, multivehicle model considering the demand...

The global spread of COVID-19 affected societies and economies at large with simultaneous disruptions to both supply and demand. To investigate the implications of COVID-19, this study seeks to inquire into how companies can achieve resilience through performance robustness and how this affects the restoration time (i.e., the time period from the p...

The research aims at examining the potential use of blockchain technology in the furniture sector's supply chain. To better understand how the furniture sector is articulated, Cubo design S.r.l and its new 4.0 production plant are used as a case study. Cubo design is an SME from Abruzzo active in the manufacture of parts and accessories for furnitu...

The way we interact with the physical world around us is being changed rapidly by advances in technology. These new technologies are very helpful for developing smart cities with the goal of improving the quality of life considering sustainability. Technology is also at the core of the circular city vision, and we need to use the new technologies a...

This chapter identifies the existing challenges in the winery industry and proposes to analyze their resolution by the adoption of blockchain technology. Blockchain allows the traceability of the whole process linked to wine production, from the cultivation of the grapes to the distribution of the bottles. Blockchain allows winery firms to unlock t...

In recent years, the Public Bicycle Sharing System (PBSS) popularity for urban transportation is increasing. The fleet size of the system and the capacity of its stations are some key factors in establishing a successful sharing system. These factors affect the number of rejected demands and the lack of free docks for returning bicycles because of...

Green supply chain management is based on performing environmental management into supply chain network in order to decrease the environmental side effects in the product life cycle. So, in this paper, a bi-objective nonlinear programming for an integrated forward/reverse logistics network with the aim of increasing total profit of the network and...

Public Bicycle Sharing System (PBSS) is used as a way to reduce traffic and pollution in cities. Its performance is related to availability of bicycles for picking up and free docks to return them. Existence of different demand types leads to the emergence of imbalanced stations. Here, we try to balance inventory of stations via defining maximal re...

Recently, public bicycle sharing system (PBSS) has become one of the most favorite urban transportation systems that can help governments to decrease environmental problems such as pollution and traffic. This paper studies a sharing system that includes two types of stations. The first category contains stations that users can rent or return back b...

Public Bicycle Sharing System has recently been developed and installed in many cities as a workable and popular transportation system. There are still some noticeable challenges associated with the operation of the system, like responding to all renting requests and all demands of vacant docks for returning bikes. Balancing the inventory of statio...

In this paper, a multi-product inventory problem is investigated in which a retailer buys items from different suppliers based on their purchasing costs and defective rates. Due to the warehouse and staff constraints involved, the inventory cycle consists of two parts. The first part corresponds to a screening period in which a destructive testing...

Although minimizing costs is the main objective in inventory models, meeting customer's needs is another basic goal of many companies. Especially in the case shortages are allowed, the waiting time a customer spends to receive his/her backlogged shortage is an important factor that affects maintaining with the company. As defining an accurate short...

This paper studies an inventory model system in which the inspection system reliability hinges on the reliability of its components and affects recognition of defective items over the planning horizon. The inventory model is discussed during the useful life of the inspection system and its components will be sold at the end of the useful life at th...

The aim of this paper is defining an optimal model for a retailer who uses a 100% screening process to reveal defective items which are received from the supplier. The demand rate is lower than the screening rate and the defective items will be sent to a repairing shop to be repaired. According to the fixing rate, the products will be sent back to...

In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with t...

In this paper, the optimal lot size for batches with exchangeable imperfect items is derived where the delay time for the exchange process depends on the quantity of imperfect items. This delay in exchange may or may not lead into shortage. The initial received lot is 100% screened. After the screening process, an order to exchange defective produc...

In this paper, the optimal lot size for batches with exchangeable imperfect items is derived where the time delay for the exchange process depends on the quantity of the imperfect items. This delay in exchange may or may not lead into shortage. The initial received lot is 100% screened. After the screening process, an order to exchange defective pr...

In this paper, the optimal lot size for batches with exchangeable imperfect items is derived where the delay time for the exchange process depends on the quantity of imperfect items. This delay in exchange may or may not lead into shortage. The initial received lot is 100% screened. After the screening process, an order to exchange defective produc...

This study considers a multiproduct economic order quantity problem where delay in payment is permissible and the retailer can benefit cash discounts. The amount of discount and the length of the grace period depend on the order quantity and all the costs increase by an inflation rate. Moreover, the shortage is backlogged and the limited warehouse...

This paper is an extension of Hsu and Hsu [A note on ”optimal inventory model for items with imperfect quality and shortage backordering.” 2012, International Journal of Industrial Engineering Computations, 3(5), 939-948] aiming to determine the optimal order quantity of product batches that contain defective items with percentage nonconforming fol...

For many years, the Economic Order Quantity (EOQ) model has been successfully applied to inventory management. This paper studies a multiproduct EOQ problem in which the defective items will be screened out by 100% screening process, and will be sold after the screening period. Delay in payment is permissible, though payment should be made during t...

In general redundancy allocation problems the redundancy strategy for each subsystem is predetermined. Tavakkoli-Moghaddam presented a series-parallel redundancy allocation problem with mixing components (RAPMC) in which the redundancy strategy can be chosen for individual subsystems. In this paper, we present a bi-objective redundancy allocation w...

In general redundancy allocation problems the redundancy strategy for each subsystem is predetermined. Tavakkoli-Moghaddam et al. (2008) presented a series-parallel Redundancy Allocation Problem with Mixing Components (RAPMC) in which the redundancy strategy can be chosen for individual subsystems. In this paper, we present a bi-objective redundanc...

In DEA models, decision making units with predefined inputs and outputs are evaluated. Each one of these DMUs needs a supporting system for its inputs which can have a great influence on the performance of the DMU. Therefore, the supporting systems that produce the inputs of the DMUs shouldn't be ignored in these models. In this paper the importanc...

The required storage space and the material handing cost in a warehouse hinge on the storage implementation decision. Effects of storage area reduction on order picking and storage space cost are incorporated. Moreover, merchandises which are in the same shape and can be stored beside each other easily or goods that don't cause any danger like caus...

This paper proposes a new mathematical model for multi-objective redundancy allocation problem (RAP) without component mixing in each subsystem when the redundancy strategy can be chosen for individual subsystems. Majority of the mathematical model for the multi-objective redundancy allocation problems (MORAP) assume that the redundancy strategy fo...