
Kiarash Sadeghi R.North Carolina Agricultural and Technical State University | NC A&T · Marketing and Supply Chain Management
Kiarash Sadeghi R.
Doctor of Philosophy
About
54
Publications
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1,328
Citations
Introduction
Additional affiliations
August 2018 - November 2020
December 2017 - June 2018
September 2016 - December 2017
Education
August 2018 - May 2022
September 2016 - June 2018
September 2003 - February 2011
Azad University
Field of study
Publications
Publications (54)
Purpose
Outsourcing and offshoring practices have introduced a high level of complexity into operations and supply chains, involving suppliers and manufacturers from various locations to deliver value to final customers within an integrated information-sharing system such as enterprise resource planning (ERP). Such supply chains have been facing mo...
In times of supply chain disruptions, supply chain digitalization is a primary dynamic capability to create organizational agility through innovative thinking. There is a lack of empirical evidence about the role of external factors in organizational agility. Therefore, drawing upon the theory of dynamic capabilities, this paper addresses the resea...
Sustainability development goals require decision-makers to incorporate social and environmental indicators in their economic models using innovative solutions, such as a sustainable circular economy. This paper presents an innovative integrated production and logistic model for a circular economy using multi-objective optimization. Empirical data...
Recent studies explain how to detect fake reviews and their impacts on consumers and businesses. Despite the prevalence and significance of fake reviews, prior research has yet to fully explore the motivations and psychological mechanisms behind voluntary participation in writing fake reviews, especially in incentivized campaigns. This paper explai...
A supply chain's ability to avoid an unexpected disruption or quickly return to a normal situation defines supply chain resilience. Prior works have emphasized the integration of supply chain resilience and sustainable development goals (sustainable supply chain resilience), which is the focus of this paper. This paper proposed a four-level supply...
Healthcare knowledge management systems can mitigate hospitals’ operational inefficiency. As a healthcare information technology, the electronic health record (EHR) receives much attention from medical institutions due to its considerable impact on operational cost performance. This paper focuses on EHR systems to address operational inefficiency b...
Little is known about cyber-resilience in supply chain management. Using two empirical studies, this paper examines how visibility impacts cyber-resilience in times of data breaches. Two new antecedents (power and absorptive capacity) are introduced to see how they impact cyber-resilience through visibility. The social exchange theory provided theo...
Sustainable development is a problem-solving method that simultaneously accounts for the economic, environmental, and social impacts of actions. Decision-makers have recently recognised the need for sustainable development. Multiobjective optimisation is the most reliable technique to solve multiple sustainable development goals. However, there nee...
This instructional guide presents a semester-long, in-class project designed to equip business students with practical skills for understanding of business startups and producing high-quality reports in their future careers. Following a learning-by-doing approach, students work on one project step per week based on topics covered in weekly course m...
Due to the advent of technology, the total amount of data created has been rapidly increasing. As proposed in this paper, a big data analytics framework can facilitate theory development by exploring topics in a big dataset. We propose a comprehensive toolbox to explain a phenomenon using a big dataset.
Firms are relying on comprehensive risk and disruption management strategies such as business continuity management (BCM) to help mitigate risk and minimize the effects of disruptions. However, when suppliers' implementation and use of BCM (S-BCM) can be improved and whether S-BCM is beneficial to the buyer has yet to be theoretically and empirical...
A primary objective of blockchain technology is to address information security and efficiency issues related to existing information sharing systems. For the sharing of health records, little is known about the application of blockchain in management information systems. There are strict regulations for sharing health information due to insecure s...
The COVID pandemic has negatively influenced all businesses across the world in 2020, particularly supply chains. Inappropriate reactions to the recent pandemic showed that companies have insufficient learning from prior pandemics such as SARS, resulting in a considerable reduction in the global gross domestic product (GDP) in 2020. Supply chains a...
Few studies have examined shipbuilding production processes from a lean scheduling perspective, a production scheduling approach where the primary focus is on minimizing key sources of production waste while ensuring production continuity and on-time delivery. Specifically, this research develops a lean scheduling approach and analytical model for...
This paper explores 92789 tweets collected since March 2020 to see the consequences of the COVID-19 pandemic in the operations management. Through text mining in the collected big data set, the preliminary results show that the most vulnerable part of the operations management is the supply chains.
Purpose
Service organization supply chains provide a context that amplifies the complexity of interorganizational interdependencies and the need to build unique capabilities and innovative solutions, especially when confronted with man-made or natural disasters. Using the lens of complex adaptive systems (CAS), this study aims to investigate the ro...
Pandemics such as Coronavirus are rare but harm the economy and society. We little know about supply chain reactions to Coronavirus. Using a big data analysis of 60,000 tweets in English from the early stage of Coronavirus, March 2020, we shed light on supply chain risk management during pandemics.
Due to its competitive advantages and mitigation of global climate change, sustainability development has become a center of attention in the manufacturing society to improve production processes. Scant research exists on the three pillars of sustainability ― economy, environment, and society ― in production frameworks through the lens of process i...
Distractions and interruptions play a vital role to improve the safety in tasks related to human such as surgery in operating rooms. On average, one distraction per three minutes has been occurring during surgery in operating rooms. Since removing distractions and interruptions is inevitable in many cases, a call has been made by society to identif...
Renewable energy sources, including bio-energy technologies, have been introduced to overcome sustainability challenges, such as negative environmental impacts and energy insecurity due to reliance on fossil fuels. Logistics activities have a significant effect on the cost and environmental impacts of renewable energy supply chains. Understanding a...
The hospital location and service allocation is one of the most important aspects of healthcare systems. Due to lack of studies on covering location-allocation and scheduling problems with respect to the uncertain budget, this paper develops a bi-objective hybrid model to locate hospitals and allocate machines and services scheduled. The costs of e...
This paper develops an economic production quantity (EPQ) model for a multi-product multi objective inventory control problem with fuzzy stochastic demand and backorders. In this model, the annual demand is represented by trapezoidal fuzzy random numbers. The centroid defuzzification and the expected value methods are applied to defuzzify and make...
The green supplier selection (GSS) problem is a well known strategy to outsource with respect to environmental protection. Although different applications of GSS have been proposed in the literature, the fuzzy five objective GSS model has not been studied yet. This paper develops a multi-objective fuzzy linear programming model for a GSS problem, i...
This paper develops an inventory model with fuzzy demand regarding the vendor managed inventory (VMI) policy. In recent past few decades, VMI policies have been used in modeling inventory problems. The wholesale distributor’s warehouse has a capacity constraint while a wholesale distributor supplies several products to hospitals. This policy reduce...
Abstract:
Vendor-managed inventory (VMI) is one of the popular policies in retailer-supplier partnerships to reduce total inventory costs in supply chain management (SCM). As there is a lack of studies on simultaneous consideration of backordering and discount in the VMI literature, this paper develops a constrained VMI model with fuzzy demand for...
This paper presents an improved continuous genetic algorithm (CGA) to optimize the reliability redundancy allocation problem (RRAP) which determines the best redundancy strategies, the number of components, and levels of each subsystem to maximize the system reliability. In this system, both active and cold-standby redundancies can be chosen for in...
This study presents a seasonal multi-product multi-period inventory control model with inventory costs obtained under inflation and all-unit discount policy. The products are delivered in boxes of known quantities and both backorder and lost-sale quantities are considered in case of shortage. The goal is to find a representative set of Pareto optim...
In this paper, a multi-item economic production quantity model with fuzzy demand is developed in which shortages are backordered and the warehouse space is limited. While the demand is assumed to be a trapezoidal fuzzy number, the centroid defuzzification method is used to defuzzify fuzzy output functions. The Lagrangian relaxation procedure is fir...
As replenishment frequencies play an important role in integrated inventory models to reduce the total cost of supply chains, this paper extends a vendor managed inventory (VMI) model for a two echelon supply chain management, which several retailers are replenished with a different rate for several items by one vendor. While a vendor supplies seve...
The stochastic process is one the most important tools to overcome uncertainties of supply chain problems. Being a lack of studies on constrained reliable facility location problems (RFLP) with multiple capacity levels, this paper develops a bi-objective RFLP with multiple capacity levels in a three echelon supply chain management while there is a...
This paper presents a bi-objective vendor managed inventory (BOVMI) model for a supply chain problem with a single vendor and multiple retailers, in which the demand is fuzzy and the vendor manages the retailers' inventory in a central warehouse. The vendor confronts two constraints; number of orders and available budget. In this model, the fuzzy d...
In the retailer-supplier partnerships, the vendor-managed inventory (VMI) is one of the important policies in the supply chain management (SCM) to reduce the bullwhip effect. As there is a lack of study on the central warehouse via delivering cost in VMI literature, this paper presents a vendor-managed inventory (VMI) model in SCM including single...
This paper models a bi-objective VMI problem in a single-manufacturer single-vendor multi-retailer (SM-SV-MR) supply chain, in which a redundancy allocation problem is incorporated. In the hybridized problem, a manufacturer produces a single item using several machines that work in series, and stores it in a warehouse to replenish one vendor who de...
In this paper, a nearly real-world multi-product, multi-period inventory control problem under budget constraint is investigated, where shortages in combination with backorders and lost sales are considered for each product. The ordered quantities of products are delivered in batch sizes with a known number of boxes, each containing a pre-specified...
Vendor-managed inventory (VMI) is a popular policy in supply chain management (SCM) to decrease bullwhip effect. Since the transportation cost plays an important role in VMI and because the demands are often fuzzy, this paper develops a VMI model in a multi-retailer single-vendor SCM under the consignment stock policy. The aim is to find optimal re...
Since vendor-managed inventory strategy plays an important role to reduce total inventory costs, the focus of this paper is to develop an economic order quantity model presented for a two-echelon supply chain management including one vendor and one retailer. In this bi-objective model, the vendor delivers several products to the retailer while shor...
Since the great capacity of deoxyribonucleic acid (DNA) computing to perform parallel relation, it has magnetized attention. Rely on this property, the DNA computing can be used for solving hard problems such as NP‒Complete problems. Therefore, this paper proposes a molecular algorithm to solve Vehicle Routing Problem (VRP) as an NP‒hard problem. I...
In this research, a bi-objective vendor managed inventory model in a supply chain with one vendor (producer) and several retailers is developed, in which determination of the optimal numbers of different machines that work in series to produce a single item is considered. While the demand rates of the retailers are deterministic and known, the cons...
The vendor-managed inventory (VMI) is a common policy in supply chain management (SCM) to reduce bullwhip effects. Although different applications of VMI have been proposed in the literature, the multi-vendor multi-retailer single-warehouse (MV-MR-SW) case has not been investigated yet. This paper develops a constrained MV-MR-SW supply chain, in wh...
This paper develops a single-vendor single-retailer supply chain for multi-product. The proposed model is based on Vendor Managed Inventory (VMI) approach and vendor uses the retailer's data for better decision making. Number of orders and available capital are the constraints of the model. In this system, shortages are backordered. Moreover, the v...