Development and Application of Predictive Models for Survival, Growth, and Death of Enteric Pathogens in Leafy Greens Supply Chain

Leafy greens are essential part of a healthy diet. Because of their health benefits, production and consumption of leafy greens has increased considerably in the U.S. in the last few decades. However, leafy greens are also associated with a large number of foodborne disease outbreaks in the last few years. The overall goal of this dissertation was to use the current knowledge of predictive models and available data to understand the growth, survival, and death of enteric pathogens in leafy greens at pre- and post-harvest levels. Temperature plays a major role in the growth and death of bacteria in foods. A growth-death model was developed for Salmonella and Listeria monocytogenes in leafy greens for varying temperature conditions typically encountered during supply chain. The developed growth-death models were validated using experimental dynamic time-temperature profiles available in the literature. Furthermore, these growth-death models for Salmonella and Listeria monocytogenes and a similar model for E. coli O157:H7 were used to predict the growth of these pathogens in leafy greens during transportation without temperature control. Refrigeration of leafy greens meets the purposes of increasing their shelf-life and mitigating the bacterial growth, but at the same time, storage of foods at lower temperature increases the storage cost. Nonlinear programming was used to optimize the storage temperature of leafy greens during supply chain while minimizing the storage cost and maintaining the desired levels of sensory quality and microbial safety. Most of the outbreaks associated with consumption of leafy greens contaminated with E. coli O157:H7 have occurred during July-November in the U.S. A dynamic system model consisting of subsystems and inputs (soil, irrigation, cattle, wildlife, and rainfall) simulating a farm in a major leafy greens producing area in California was developed. The model was simulated incorporating the events of planting, irrigation, harvesting, ground preparation for the new crop, contamination of soil and plants, and survival of E. coli O157:H7. The predictions of this system model are in agreement with the seasonality of outbreaks. This dissertation utilized the growth, survival, and death models of enteric pathogens in leafy greens during production and supply chain.

Relaciones y capacidades interorganizativas: un enfoque de Supply Chain Management (SCM) en red

El presente trabajo mide, en un contexto colaborativo, un conjunto de mecanismos relacionales interconectados y su incidencia en el performance organizacional. Apoyado en la Visión Relacional (Dyer y Singh, 1998), el trabajo integra mecanismos de las capacidades relacionales y capacidades competitivas en el concepto denominado ¿capacidades interorganizativas¿. Las capacidades interorganizativas se componen de la ¿confianza¿ y los mecanismos ¿combinar recursos complementarios¿, ¿invertir en activos específicos¿, ¿compartir información¿ y ¿solucionar problemas conjuntamente¿. La medición tiene lugar en la Industria Alimentaria (IA) española en un contexto de Supply Chain Management1 en red. Además de mejorar el conocimiento sobre las relaciones interorganizativas, el trabajo también realiza una revisión teórica sobre el sector agroalimentario en general y la IA en particular. Los resultados permiten confirmar, con excepciones, el constructo teórico de las ¿capacidades interorganizativas en un contexto de Supply Chain Management en red¿. Otros resultados obtenidos son los altos niveles de confianza en las relaciones entre socios y una industria que, pese al entorno competitivo y complejo actual, presenta niveles competitivos en términos de flexibilidad, respuesta, calidad y eficiencia. De igual modo, la investigación descubre la implantación de la capacidad de las empresas de la industria para gestionar el conocimiento. En este contexto, los resultados parecen indicar una correcta integración de la cadena de suministros de la IA que confirman la efectiva aplicación de la Supply Chain Management. Otras conclusiones obtenidas son la dependencia que ha tenido y tiene la industria alimentaria española de la distribución, intensificada en parte por la expansión de las marcas del distribuidor (MDDs).

From the farm to the fork: fungal occupational exposure in the swine meat supply chain

Feed production, swine and slaughterhouses were already reported as occupational environments with high fungal contamination. This condition can ultimately lead to the development of several health conditions. This study aimed to characterize the occupational exposure to fungal burden in three different settings: swine feed unit, swine units and slaughterhouse.

Supply Chain Adaptation of Finnish Companies in Chinese Institutional Environment

Within the last few decades of operations and supply chain management, the field has seen the rise of so called best practices, methods that will help supply chains obtain their business goals and gain a competitive edge. These methods were thought to be universal. This however is not always the case, as the surrounding business environment could have a significant impact on what will be effective in gaining competitive edge. Contingency theory states that the success of a supply chain is determined by both internal capabilities, as well as external context aligning. This creates a strategic fit, which is a major determinant of success. In order for supply chains to reach this strategic fit, they must adapt. As China has seen rapid growth and over the last few decades become one of the major economies of the world, Western companies have tried to establish themselves there, only to find that the Chinese market is extremely difficult to operate in. The aim of this thesis was to investigate from contingency theory perspective, what are the institutional factors that affect supply chain management of Finnish companies operating in China, and how do Finnish companies adapt their supply chains to better fit the Chinese institutional environment. A theoretical model was created for this thesis, in which supply chains possess resources, which can be combined in a meaningful manner to create capabilities. Both resources and capabilities are affected by the surrounding institutional environment, which forces supply chains to adapt in order to find a better strategic fit. A total of six Finnish managers from three large and three small companies operating in China were interviewed. The results indicated that the Chinese business environment is significantly different, than that of Finland or Western countries in general. Three institutional factors were identified: Confucian though, fast-paced business environment, and managing labor force. These three institutional factors made the relationship and delivery capabilities particularly important, as well as human resources, reputation, physical resources and technological resources. In conclusion, it was discovered that the Chinese institutional environment is heavily affected by Confucian thought, as well as the rapid market growth. These are the two most important institutional factors that shape the Chinese market. If supply chains wish to be successful in China, adaptation regarding these two institutional factors should yield good results.

Green supply chain management practices and firm performance: evidence from Finland

In order to address the increasing stakeholder requirements for environmentally sustainable products and processes, firms often need the participation of their supply chain partners. Green supply chain management has emerged as a set of managerial practices that integrate environmental issues into supply chain management. If implemented successfully, green supply chain management can be a way to achieve competitive advantage while enhancing the environmental sustainability of the firm. The overall purpose of this dissertation is to contribute to the discussion on green supply chain management practices from the perspective of their drivers and performance implications. The theoretical background arises from the literature on competitive strategy, firm performance and green supply chain management. The research questions are addressed by analysing firm-level data from manufacturing, trading and logistics firms operating in Finland. The empirical data comes from two consecutive Finland State of Logistics surveys in 2012 and 2014, combined with financial reporting data from external databases. The data is analysed with multiple statistical methods. First, the thesis contributes to the discussion of the drivers of GSCM practices. To enhance the understanding of the relationship between competitive strategy and GSCM practices, a conceptual tool to describe generic competitive strategy approaches was developed. The findings suggest that firms pursuing marketing differentiation are more likely to be able to compete by having only small environmental effects and by adopting a more advanced form of external green supply chain management, such as a combination of strong environmental collaboration and the increased environmental monitoring of suppliers. Furthermore, customer requirements for environmental sustainability are found to be an important driver in the implementation of internal GSCM practices. Firms can respond to this customer pressure by passing environmental requirements on to their suppliers, either through environmental collaboration or environmental monitoring. Second, this thesis adds value to the existing literature on the effects of green supply chain management practices on firm performance. The thesis provides support for the idea that there is a positive relationship between GSCM practices and firm performance and enhances the understanding of how different types of GSCM practices are related to 1) financial, 2) operational and 3) environmental performance in manufacturing and logistics. The empirical results suggest that while internal GSCM practices have the strongest effect on environmentalperformance, environmental collaboration with customers seems to be the most effective way to improve financial performance. In terms of operational performance, the findings were more mixed, suggesting that the operational performance of firms is more likely to be affected by firm characteristics than by the choices they make regarding their environmental collaboration. This thesis is also one of the first attempts to empirically analyse the relationship between GSCM practices and performance among logistics service providers. The findings also have managerial relevance. Management, especially in manufacturing and logistics industries, may benefit by gaining knowledge about which types of GSCM practice could provide the largest benefits in terms of different performance dimensions. This thesis also has implications for policy-makers and regulators regarding how to promote environmentally friendly activities among 1) manufacturing; 2) trading; and 3) logistics firms.

Model predictive control applied to a supply chain management problem

Supply chains are ubiquitous in any commercial delivery systems. The exchange of goods and services, from different supply points to distinct destinations scattered along a given geographical area, requires the management of stocks and vehicles fleets in order to minimize costs while maintaining good quality services. Even if the operating conditions remain constant over a given time horizon, managing a supply chain is a very complex task. Its complexity increases exponentially with both the number of network nodes and the dynamical operational changes. Moreover, the management system must be adaptive in order to easily cope with several disturbances such as machinery and vehicles breakdowns or changes in demand. This work proposes the use of a model predictive control paradigm in order to tackle the above referred issues. The obtained simulation results suggest that this strategy promotes an easy tasks rescheduling in case of disturbances or anticipated changes in operating conditions. © Springer International Publishing Switzerland 2017

Marketing de cinema : a supply chain do sector cinematografico português

Mestrado em Marketing

INTERACTIVE EFFECT OF FIXED TIME ORDER STRATEGIES WITHIN A SUPPLY CHAIN ON ACTUAL IN-STOCK PROBABILITIES

This report mainly deals with the interactive effect of different in-stock probabilities used by every individual in a supply chain. Based on a simulation for 10,000 weeks, the effects of varying in-stock probabilities are observed. Based on these observations, an individual in a supply chain can take counter measures in order to avoid stock out chances hence maintaining profits.

Packaging and food waste preventing strategies for sustainable food supply chain networks

The central aim of this dissertation is to introduce innovative methods, models, and tools to enhance the overall performance of supply chains responsible for handling perishable products. This concept of improved performance encompasses several critical dimensions, including enhanced efficiency in supply chain operations, product quality, safety, sustainability, waste generation minimization, and compliance with norms and regulations. The research is structured around three specific research questions that provide a solid foundation for delving into and narrowing down the array of potential solutions. These questions primarily concern enhancing the overall performance of distribution networks for perishable products and optimizing the package hierarchy, extending to unconventional packaging solutions. To address these research questions effectively, a well-defined research framework guides the approach. However, the dissertation adheres to an overarching methodological approach that comprises three fundamental aspects. The first aspect centers on the necessity of systematic data sampling and categorization, including identifying critical points within food supply chains. The data collected in this context must then be organized within a customized data structure designed to feed both cyber-physical and digital twins to quantify and analyze supply chain failures with a preventive perspective.

Analisi della Supply Chain e mappatura degli acquisti. Caso aziendale: Termotecnica Industriale S.r.l.

Il Supply Chain Management è una rete di strutture che producono materie prime e le trasformano in prodotti finiti da consegnare ai clienti. Per gestire in maniera efficace l’impresa, l’intera struttura della catena di approvvigionamento deve seguire il flusso aziendale correttamente, in modo da non creare rallentamenti nella fornitura e causare problemi al soddisfacimento dei bisogni del cliente. Questo elaborato analizza tutte le componenti che influiscono sul successo di una supply chain, in particolare la funzione strategica degli acquisti, evidenziandone le principali problematiche che si possono riscontrare e le soluzioni che invece si possono applicare. Gli acquisti, che nascono dalla richiesta di un bisogno da soddisfare, sono da considerarsi un vantaggio competitivo e di redditività per un’azienda, in quanto incidono direttamente sul fatturato totale, motivo per cui sono stati oggetto dello studio. L’acquisto deve rispecchiare le specifiche tecniche e funzionali richieste, al fine di soddisfare i bisogni del cliente. Analizzando tale reparto presso l’azienda Termotecnica Industriale S.r.l., una Piccola Media Impresa (PMI) che si occupa di progettazione, fabbricazione ed installazione di caldaie industriali e generatori di vapore a recupero di calore, si è ricercato un nuovo modello di approvvigionamento da seguire. L’obiettivo di questa analisi è di sviluppare una strategia aziendale che gestisca in maniera corretta la catena di fornitura, ottenendo migliori condizioni contrattuali ed evitare problemi come gli acquisti a collo di bottiglia. E’ stato necessario, individuare una nuova metodologia che aiutasse i buyer a instaurare il giusto rapporto col fornitore selezionato, in funzione all’acquisto che si sta per compiere. Infatti per ogni tipologia di approvvigionamento ci sono approcci differenti da utilizzare con i fornitori per ottenere delle agevolazioni rispetto a quanto offerto in precedenza dello stesso.

Applicazione ed implicazioni della Corporate Sustainability Due Diligence nella Supply Chain: caso studio Fincantieri S.p.A.

La richiesta dei consumatori di prodotti sostenibili, le lotte per il cambiamento climatico e l'importanza che viene data alla sostenibilità dal mondo finanziario hanno fatto sì che la politica intraprendesse iniziative sulle tematiche sostenibili e di conseguenza le imprese hanno adottato azioni in linea con i criteri ESG. Anche se per le aziende intraprendere un percorso sostenibile non sia economicamente conveniente e per raggiungere determinati obiettivi servono sforzi e tempi lunghi, sono consapevoli dei benefici nel medio-lungo termine a livello economico, di reputazione e vantaggio competitivo. Queste iniziative però si concentrano prevalentemente sul primo anello della supply chain e le società che operano in un mercato globale fanno difficoltà a rispettare le differenti norme giuridiche non compatibili negli Stati in cui è presente la propria value chain. Per risolvere questi problemi la della Commissione Europea il 23/02/2022 ha proposto la direttiva sulla Corporate Sustainability Due Diligence, che impone l’obbligo per le imprese di implementare un processo di due diligence in tutta la value chain per prevenire effetti negativi e potenziali sui diritti umani e sull’ambiente. L’obiettivo dell'elaborato è di analizzare la direttiva di due diligence per comprendere quanto le aziende di oggi siano pronte al monitoraggio di un’intera catena del valore. Il caso studio scelto per lo scopo è quello dell’azienda Fincantieri S.p.A. la quale ha intrapreso da qualche anno un percorso di sostenibilità. Attraverso il confronto fra le azioni in atto dell'azienda e la direttiva, dalla trattazione emerge che la sfida più grande che Fincantieri dovrà affrontare sarà la condivisione delle pratiche già in atto nei livelli più profondi della supply chain. L’approvazione della direttiva, incentivando anche indirettamente le aziende ad operare in ottica di sostenibilità, aiuterà a perseguire l'obiettivo di due diligence in un percorso di crescita e miglioramento con i fornitori

Stato dell'arte delle tecniche lean per la gestione della supply chain

L’idea di focalizzare la tesi sulla supply chain ed in particolare sulle tecniche lean per la sua ottimizzazione deriva dal fatto che si tratta di un nuovo modo di ragionare, di un approccio moderno perfettamente adattabile al contesto socio-economico attuale, teso ad accrescere la flessibilità e l’efficienza dell’impresa attraverso un ripensamento dell’intero flusso di creazione del valore. Verranno analizzate le caratteristiche generali di questo modello organizzativo, per poi addentrarsi nella sua applicazione ed infine i vantaggi e gli eventuali svantaggi che le organizzazioni devono affrontare per implementare operativamente le tecniche lean. L’analisi effettuata nella tesi è strutturata come segue: La parte iniziale del primo capitolo definisce il concetto generale di supply chain sottolineando il contesto di riferimento in cui oggi operano le attività produttive. Vengono poi riportati l’accezione e il valore della supply chain management e le sue problematiche annesse di gestione e controllo. Nella seconda parte del capitolo vengono analizzati e descritti i modelli letterari esistenti utili per descrivere, impostare e classificare una supply chain. Il secondo capitolo, dopo una breve esposizione storica che descrive le origini della metodologia lean production, è orientato alla raccolta delle definizioni e alle loro differenti visioni tratte dal mondo della letteratura. Segue una parte più analitica, dove vengono analizzati in maniera dettagliata gli obiettivi, gli strumenti ed i principi che la filosofia lean prevede. Nel terzo capitolo viene approfondita la VSM, uno degli strumenti di principale importanza secondo le logiche della lean manufacturing. Vengono analizzati gli step necessari per una corretta implementazione, illustrando prima la simbologia internazionale necessaria per una sua comprensione e realizzazione e poi definiti gli step da applicare non solo per una semplice realizzazione, ma per l’ottenimento di una value stream map in ottica lean.

Creazione della supply chain in una startup: il caso Refuel Solutions

L'obiettivo della tesi mira a sviluppare una soluzione per la catena di fornitura di una startup. La tesi inizia con una revisione sistematica della letteratura per definire prima ciò che sono gli acquisti in generale, per poi cercare di definire teoricamente quelle che sono le migliori strategie per una startup da adottare in ambito supply chain. È importante che venga compreso il contesto aziendale dove opera un’impresa prima di progettare una soluzione che potrebbe quindi non rispecchiare a pieno il modello teorico. Viene inoltre fornito un confronto nell'approccio all'ambito tra una startup e un'impresa consolidata con la descrizione del rapporto che può nascere tra le due. Nella seconda parte della tesi viene presentato il caso reale di Refuel Solutions, inizialmente descrivendo l’azienda e il mercato in cui opera, per addentrarsi poi nelle scelte specifiche che sono state fatte per costruire la catena di fornitura e nel racconto dell’esperienza su alcuni codici di acquisto, analizzandoli nello specifico, per concludere infine con quelli che sono gli obiettivi futuri per l’azienda.

Design and management of a supply chain: a joint location-inventory problem under uncertainty (Part A)

In this paper, a joint location-inventory model is proposed that simultaneously optimises strategic supply chain design decisions such as facility location and customer allocation to facilities, and tactical-operational inventory management and production scheduling decisions. All this is analysed in a context of demand uncertainty and supply uncertainty. While demand uncertainty stems from potential fluctuations in customer demands over time, supply-side uncertainty is associated with the risk of “disruption” to which facilities may be subject. The latter is caused by external factors such as natural disasters, strikes, changes of ownership and information technology security incidents. The proposed model is formulated as a non-linear mixed integer programming problem to minimise the expected total cost, which includes four basic cost items: the fixed cost of locating facilities at candidate sites, the cost of transport from facilities to customers, the cost of working inventory, and the cost of safety stock. Next, since the optimisation problem is very complex and the number of evaluable instances is very low, a "matheuristic" solution is presented. This approach has a twofold objective: on the one hand, it considers a larger number of facilities and customers within the network in order to reproduce a supply chain configuration that more closely reflects a real-world context; on the other hand, it serves to generate a starting solution and perform a series of iterations to try to improve it. Thanks to this algorithm, it was possible to obtain a solution characterised by a lower total system cost than that observed for the initial solution. The study concludes with some reflections and the description of possible future insights.

Greening the Lean Supply Chain: il caso Lush Cosmetics

«La salute degli ecosistemi da cui dipendiamo, noi e tutte le altre specie, si sta aggravando più rapidamente che mai; stiamo compromettendo le stesse basi delle economie, della sussistenza, della sicurezza alimentare, della salute e della qualità della vita in tutto il mondo». Così il chimico R. Watson commentava un diffuso rapporto del 2019 delle Nazioni Unite sulla sconvolgente perdita di flora e fauna a livello globale. In questi anni sono stati infiniti gli appelli che citano l’astratto concetto delle «generazioni a venire», eppure, non tutte le aziende stanno agendo come dovrebbero. I rifiuti prodotti sono ancora molti, soprattutto quelli plastici da packaging. Alcune ideologie snelle, come il Lean Thinking, esistono da decenni e sono strettamente legate a quella che oggi chiamiamo Green Manufacturing. Entrambe propongono diversi strumenti per far fronte alla produzione di massa e agli sprechi: questi verranno trattati nella prima parte, e successivamente saranno impiegati, con il supporto del software «openLCA», per verificare il percorso dell’azienda protagonista dell’analisi, ovvero Lush Cosmetics. L’attenzione all’impatto ambientale che i propri prodotti possono provocare lungo l’intero ciclo di vita ha modellato la gestione interna di ciascun processo e, spontaneamente, si riflette sugli attori dell’intera supply chain: così, il comportamento di uno può ugualmente modificare, in questo caso positivamente, il lavoro di molti. Il seguente elaborato pone l’attenzione sulle problematiche migliorabili, proponendo diverse soluzioni alternative rispetto alla gestione attuale, seppur migliore di altre realtà. Infine, si vuole stimolare il consumatore verso una maggior consapevolezza delle conseguenze delle sue azioni, in fase di acquisto prima ed al momento dello smaltimento poi. I provvedimenti normativi, nazionali ed europei, possono funzionare solo se sostenuti da un consumo responsabile e dalla diffusione di una chiara ed efficace educazione ambientale.