Salvatore Cannella

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Verified

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• Phd
• Professor (Associate) at University of Catania

The Periodic Inventory control policy (R, S) is one of the most employed and studied strategies by practitioners and researchers in a variety of contexts. In the last two decades, Inventory Location literature has been focused on the integration of inventory control issues into facility location models for addressing Supply Chain Network Design pro...

Due to the complex nature of some products and the different quality of returns, in closed-loop supply chains there might be different types of reverse processes and reverse flows, including repaired, refurbished, remanufactured, or recycled goods. These reprocessed goods return to different echelons of the supply chain according to their quality,...

Industrial symbiosis has been recognized as a promising strategy to move towards a Circular Economy. However, its impact on the supply chain dynamics is still unexplored. For this reason, with this work we aim to contribute to this research gap analysing the dynamic performance of symbiotic supply chains. Through the agent-based modeling technique,...

In this paper, we investigate the impact in terms of Fill Rate of production control policies in a two-product, two-echelon supply chain dynamic problem with production capacity. The factory node is subject to two different disruptive occurrences (i.e. failure events and changeovers) that can cause unforeseen problems in the supply chain. To contro...

Batching is a well-known cause of the bullwhip effect. Despite being very common in many industries to leverage economies of scale, it has been little explored due to its nonlinear complexity. This work examines how order-quantity batching affects the performance of closed-loop supply chains, which are gaining importance as a result of their enviro...

We consider a hybrid manufacturing/remanufacturing system where the returned products (cores) are classified into different quality grades. Each grade requires different remanufacturing operations and thus lead times. We examine the implications of the quality-grading scheme on the dynamic behavior of closed-loop supply chains, benchmarking this ag...

Feeding the expected global population of 9 billion by 2050 is a daunting challenge, which engages researchers, technical experts, and leaders across the globe. Particularly, fish consumption in 2030 is projected to be 20% higher than in 2016 (30 million tons live weight). Salmon farming is one of the main industries that may help in covering the p...

We explore the value of information sharing for smoothing the dynamics of supply chains when some echelons do not collaborate. To this end, we study seven information sharing structures in a four-echelon supply chain using a system dynamics approach. We find that the overall propagation of the bullwhip effect in supply chains decreases as the numbe...

Increasing the understanding of the management of closed-loop supply chains (CLSCs) is fundamental to accelerate the much-desired transition towards the circular economy. From this perspective, we investigate the value of proportional order-up-to policies (POUT) policies and the adjustment of their inventory controllers in these systems. These poli...

In this paper, we investigate a two-echelon, two-product Supply Chain (SC) inspired by a real-world production/distribution firm, in which the product change-over time, necessary to switch from a product to another, induces a variable capacity in the factory. Such a varying production capacity is further exacerbated by the machine breakdowns that m...

This chapter provides an overview of the state of the art in Behavioral Operations Management studies focusing on supply chain dynamics. Specifically, we show how, in the last decade, this field of study has been gaining momentum in scholarly research. Additionally, we focus on supply chain dynamics and perform a systematic literature review on the...

The Bullwhip Effect manifests itself in the form of an increased order and inventory variability in the uppermost nodes of the supply chain. This dynamic phenomenon is not yet well understood in closed-loop supply chain settings, despite their growing importance in modern societies pursuing circular economy opportunities. Indeed, the problem-specif...

The closed-loop dynamics of sustainable supply chains play a key role in their performance, as the reverse flows of returns and remanufactured products entail new sources of uncertainty that alter the normal performance of the supply chain. However most of the studies assume a linear supply chain with a single reverse flow of returns, which is a si...

In this paper, we review relevant literature on the development of multi-agent systems applications for supply chain management. We give a general picture of the state of the art, showing the main applications developed using this novel methodology for analyzing diverse problems in industry. We also analyze generic frameworks for supply chain model...

In this paper we reflect on the role of information sharing on increasing the resilience of supply chains. Specifically, we highlight the lack of studies addressing this relevant topic in closed-loop supply chains. Then, we introduce the works covered by the Special Issue “Information Sharing on Sustainable and Resilient Supply Chains” to investiga...

Remanufacturing practices in closed-loop supply chains (CLSCs) are often characterised by highly variable lead times due to the uncertain quality of returns. However, the impact of such variability on the dynamic benefits derived from adopting circular economy models remains largely unknown in the closed-loop literature. To fill the gap, this work...

In this chapter, we present an analysis of the fresh apple export supply chain in Chile. Fresh fruits are one of the main exports in Chile, after the mining products. This supply chain is particularly complex due to its perishable nature and the fact that the fruit export season occurs during the summer period, overlapping with the arrival of cruis...

In this paper, we investigate the dynamic behavior of a closed-loop supply chain with capacity restrictions both in the manufacturing and remanufacturing lines. We assume it operates in a context of a twofold uncertainty by considering stochastic demand and return processes. From a bullwhip perspective, we evaluate how the four relevant factors (sp...

Purpose The purpose of this paper is to propose and model collaboration and information exchange enabler strategies, designed to accomplish significant improvements in supply chain (SC) performance. Some of these improvements to the SC include the reduction of the bullwhip effect and increased customer and SC partner benefits. The authors propose...

Several studies have reported that capacitated supply chains may benefit from an improved dynamic performance as compared to unconstrained ones. This occurs as a consequence of the capacity limit acting as a production smoothing filter. In this research, the relationship between capacity restrictions and the operational performance of supply chains...

The literature on the impact of risk aversion on supply chains (SCs) is relatively limited and, in particular, there is a dearth of theory and a lack of empirical evidence concerning: (1) the impact of individual risk aversion on the generation and dynamics of the order policy (e.g. order patterns and inventory holding costs); (2) the impact of sev...

We investigate two main sources of information inaccuracies (i.e., errors and delays) in demand information sharing along the supply chain (SC). Firstly, we perform a systematic literature review on inaccuracy in demand information sharing and its impact on supply chain dynamics. Secondly, we model several SC settings using system dynamics and asse...

This work analyses partial information sharing involving retailers with different operational configurations. Retailers are characterized by four operational factors, i.e., demand variance, lead time average, forecasting period and inventory policy. The findings show that the performance improvement based on information sharing depends on retailers...

This paper analyses the impact on supply chain performance of adopting different strategies to implement partial information sharing among heterogeneous retailers. Supply chains are modelled using a multi-agent systems approach. We find that the strategy adopted to construct the partial information sharing structure (i.e., the retailers who share i...

The planning of a supply chain (SC) subject to market demand uncertainty is challenging in regards to defining update mechanisms that deal with demand variations. This study addresses this challenge and proposes a new reorder point update procedure for order-up-to-level (OUTL) policies in continuous review systems. The new procedure modifies the cl...

This article presents a rigorous prospective analysis of the impact of Inventory Record Inaccuracy (IRI) on complex multi-echelon Supply Chains (SCs). Specifically, key operational factors (i.e., the magnitude of the error, frequency of the inventory audits and lead time variability) and SC structure are systematically assessed. We find that the de...

Recent works have shown that the dynamic performance (i.e., the so-called bullwhip effect) of serial and divergent Supply Chain Networks (SCNs) under a sudden increase in the average customer demand may be substantially different. However, the effect of customer demand variability has not been investigated despite the fact that, in real-world busin...

This paper analyses the inventory and order flow dynamics in closed-loop supply chains (CLSCs). In this kind of supply chains the reverse flow of materials entering the system for recycling purposes complicates the way in which inventories should be managed and replenishment policies should be designed. Specifically, we analyse the relationships be...

The aim of this paper is to study how the structural factors of supply chain networks, (i.e. the number of echelons, the number of nodes and the distribution of links) impact on its dynamics performance (i.e. bullwhip effect).To do so, we systematically model multiple structures according to a robust design of experiments and simulate such structur...

This paper addresses the impact of inventory errors on the performance of arborescent supply chains, characterized by the bullwhip effect. The inventory records inaccuracy is caused by a permanent shrinkage. Periodic inventory audits are used to control the consequences of the inventory records inaccuracy phenomenon. Different levels of shrinkage a...

This paper provides an assessment of partial Information Sharing (IS) in Supply Chain (SC). We study the dynamics of collaborative multi-echelon structure, characterized by an increasing level of information visibility among partners. To do so, we mathematically model six four-echelon serial SCs via difference equations and conduct numerical simula...

This paper presents SCOPE, a novel Multi-Agent modeling and simulation platform specifically designed to emulate and study complex supply chains. SCOPE allows the user to create supply chains of any size, defining customers and providers for each company, without limiting assumptions on random variables of the production-distribution and delivery s...

The goal of this paper is to quantify the impact of Inventory Record Inaccuracy on the dynamics of collaborative supply chains, both in terms of operational performance (i.e. order and inventory stability), and customer service level. To do so, we model an Information Exchange Supply Chain under shrinkage errors in the inventory item recording acti...

This paper presents a simulation-based study of a coordinated, decentralized linear supply chain (SC) system. In the proposed model, any supply tier considers its successors as part of its inventory system and generates replenishment orders on the basis of its partners’ operational information. We show that the proposed coordinated decision-making...

This research focuses on how two common modelling assumptions in the Bullwhip Effect (BWE) literature (i.e. assuming the return of the excess of goods and assuming a serial network) may distort the results obtained. We perform a robust design of experiments where the return condition (return vs. no return) and the configuration of the Supply Chain...

Purpose – The purpose of this paper is to explore the effect of inventory record inaccuracy due to behavioral aspects of workers on the order and inventory variance amplification. Design/methodology/approach – The authors adopt a continuous-time analytical approach to describe the effect of inbound throughput on the inventory and order variance am...

The amplification of demand variation in a supply chain network (SCN) is a well-known phenomenon called the bullwhip effect. This effect generates a large volume of inefficiencies as it moves a greater number of units than necessary, increases stock and generates stock-outs. There are two different approaches for avoiding and/or limiting this detri...

The amplification of demand variation in a supply chain network (SCN) is a well-known phenomenon called the bullwhip effect, which creates inefficiencies due to high variation in the order quantities placed between companies, leading to a flow of a larger number of units than the actual need, increasing stock and generating stock-outs. Since this p...

Collaboration in Supply Chains (SC) is concerned with the alignment of the decision making process amongst SC partners. This is crucial in the planning and inventory management area where this alignment is enabled by the exchange of information. Several benefits deriving from such effective collaboration exist., such as: excess inventory eliminatio...

The aim of this article is to analyse and quantify the effects of demand and inventory smoothing into supply-chain performance, facing the extreme volatility and impetuous alteration of the market produced by the current economic recession. To do so, we model a traditional serial three-stage supply chain and we test five settings of order smoothing...

The information and communications technologies (ICT) are increasingly used in society and business. ICT have become a key element for business development and the improvement of activities in all departments. Analogously, the rise of Computerized Maintenance Management Systems (CMMS), Condition Based Maintenance (CBM), and the use of remote device...

The impact of information sharing in supply chains has been traditionally restricted to classical serially-linked echelon structures, an assumption which does not often correspond to reality. In this paper, the potential benefits of information sharing in a divergent supply chain are analyzed. To do so, a Java-based multi-agent simulation is develo...

Purpose – The purpose of this paper is to analyse the impact of reverse logistics on order and inventory variance amplification in a single-echelon supply chain (SC) and to propose a new order policy for dampening such amplification. Design/methodology/approach – A general review of the literature on sustainable operations and on the impact of rev...

The objective of this paper is to analyze the impact of the smoothing replenishment rules on a divergent supply chain and compare this impact with effect of this bullwhip avoidance technique on the widely used serial chain. To this purpose we simulate a classical four echelon serially-linked supply chain model and an arborescent supply chain model...

A bullwhip measurement system based on a two-criterion assessment - ‘internal process efficiency’ and ‘customer service level’ - is developed in this paper. The framework is designed to assess both individual (single member) and systemic (whole supply chain) performances. Data collection and calculation methods, update and monitoring mechanisms, as...

During the last decades, supply chain collaboration practices and the underlying enabling technologies have evolved from the classical electronic data interchange (EDI) approach to a web-based and radio frequency identification (RFID)-enabled collaboration. In this field, most of the literature has focused on the study of optimal parameters for red...

This paper shows how discrete-event simulation represents an appropriate tool for approaching the dynamics of production networks. Three important factors influencing production network dynamics, specifically finite production capacity, manufacturing lead time, and its variability are discussed and a basic discrete-event simulation model is present...

In 1958 Jay Forrester presented DYNAMO, one of the early simulation languages specifically developed for modeling complex dynamic systems, providing the most seminal contribution to understanding the bullwhip phenomenon (see J. Forrester, “Industrial Dynamics: A Major Breakthrough for Decision-makers,” Harvard Business Review 36 [1958]: 37–66). Bes...

We analyse the operational response of a Synchronised Supply Chain (SSC). To do so, first a new mathematical model of a SSC is presented. An exhaustive Latin Square design of experiments is adopted in order to perform a boundary variation analysis of the main three parameters of the periodic review smoothing (S,R) order-up-to policy: i.e., lead tim...

The aim of this article is to show how to modify a replenishment rule in relation to the operational information shared by suppliers. More specifically, we present a model of an Automatic Pipeline Variable Inventory and Order-Based Production Control System rule for a multi-echelon supply chain characterised by different increasing levels of shared...

In the last 50 years, Forrester's system dynamics techniques have been adopted to analyse problems and find solutions for global supply chains. An important topic in production-inventory system modelling is the design of experiment. The aim of this paper is to present an application of a statistical technique of design of experiment, the Latin Squa...

The aim of this paper is to quantify the benefit of demand and inventory smoothing in contrasting the extreme volatility and impetuous alteration of the market produced by the current economic recession. To do so we model a traditional supply chain and we test five settings of order smoothing under two shocks in the market demand, and we measure th...

This paper presents a study of a coordinated production inventory-system. In the proposed model, any echelon considers its successors as part of its inventory system and generates the replenishment order on the basis of operational information of its partners. We show that the coordinated decision making allows elimination of information distortion...

This paper provides an assessment of the impact of collaboration and smoothing replenishment rules on supply chain operational performance and customer service level. Three supply chain configurations (i.e. Traditional, Information Exchange and Synchronised) in which orders are generated by smoothing (S, R) inventory control policies are studied fo...

The aim of this paper is to present an experiment of mixed evaluation (summative/formative) of questions formulated by students in a distance–education environment carried out in the Total Quality Management course in the B.S. degree in Industrial Engineering offered by Mexican public universities. Questions generated by students were evaluated usi...

The aim of this paper is to present an experiment of mixed evaluation (summative/formative) of questions formulated by students in a distance-education environment carried out in the Total Quality Management course in the B.S. degree in Industrial Engineering offered by Mexican public universities. Questions generated by students were evaluated usi...

This paper presents the experiment of a mixed summative-formative evaluation in an asynchronous distance higher education context. In the experiment, performed in the distance course of Total Quality Management, Industrial Engineering, University of Guadalajara (Mexico), students are guided to formultate questions on specific topics. Studentgenerat...

The objective of this paper is to present an Enterprise System (ES) ex-ante no-cost based three step evaluation technique, which enables a pre-emptive analysis of the effects of an ES implementation using a system of referenced non financial performance metrics. The innovativeness is in the use of a simulation model fully integrated with the evalu...

This paper presents the mathematical derivation of a new generation of the most largely used periodic review policy in supply chain: the coordinated (S, R) replenishment rule. We first derive the classical order-up-to model and then we modify it to generate the coordinated decision policy equations. We run a numerical simulation on a serial supply...

During the XX century supply chains have evolved in the face of new global market challenges to remove congenital inefficiencies such as the bullwhip effect. This paper illustrates four supply chain archetypes, from the classical traditional structure to the innovative synchronised configuration. The four archetypes are presented using a water tank...

A lo largo del siglo XX las cadenas de suministro han evolucionado para enfrentarse a los desafíos del mercado globalizado y librarse de ineficiencias congénitas como el efecto látigo. En este artículo se presentan cuatros arquetipos de cadenas de suministro, desde la clásica estructura tradicional hasta el innovador paradigma de la configuración s...

The well-known deleterious effect of the amplification of variance of order rates in multi-echelon systems, commonly known as demand amplification phenomenon or bullwhip effect, still presents new challenges and continues to fascinate the operations management community. Recently this research field is focusing on the study of robustness of bullwhi...

This work infers on the conjoint adoption of collaboration practices and replenishment rules as bullwhip dampening techniques in a limited capacity production network. Continuous time differential equation methodology is adopted to model three supply chain configurations. Results show that theconditio sine qua non for long-term capacity strategy is...

El efecto bullwhip es un fenómeno causante de ineficiencias en la gestión de la cadena de suministros. El objetivo del presente artículo es analizar el impacto sobre el rendimiento de una cadena de suministro de dos de las técnicas más comunes de resolución del efecto bullwhip: la regla de pedido (S, R) amortiguada y la adopción de prácticas de col...

The bullwhip effect is a phenomenon that causes inefficiencies in supply chains. The aim of this paper is to investigate on the different impact on the performance of a supply chain of two bullwhip solving techniques: the (S, R) smoothing replenishment policy and collaboration practices. Performance is evaluated through a comprehensive set of metri...

El objetivo del presente artículo es profundizar en el análisis de Evans y Naim (1) sobre la relación entre la capacidad de limitada producción y el efecto bullwhip, y actualizarlo en función de las recientes configuraciones de cadenas de suministro colaborativas. Se analizan tres cadenas de suministro con capacidad de producción limitada: la misma...

The aim of this paper is to investigate how different smoothing parameter levels of the Automatic Pipeline Inventory and Order Based Production Control System smoothing replenishment rule impact on the bullwhip dampening efficacy, under progressive information sharing strategies. The main results of this work are: (1) The smoothing parameter variat...

This paper explores the relationship between constrained capacity and supply chain performance. Six capacity constraint levels are studied under different inventory policies and information sharing strategies. The results suggest that an increment of production capacity, used in industry as local approach to manage increasing incoming orders, does...