An ANP model to support decision-making in a Portuguese pharmaceutical supply chain

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Applications of RFID in the pharmaceutical supply chain

L’obiettivo di questa tesi è principalmente quello di mostrare le possibili applicazioni della tecnologia RFID (Radio Frequency Identification) all’interno della supply chain farmaceutica, cercando di comprendere il campo di applicazione di questa tecnologia in un’industria così altamente regolata e complessa come quella farmaceutica. La tesi è organizzata in tre sezioni; nel primo capitolo si trattano i principi alla base della tecnologia RFID e l’attuale stato dell’arte nella standardizzazione della banda di frequenza utilizzata e nell’hardware. In questa sezione sono poi mostrate le principali applicazioni e nella parte finale i problemi affrontati da un’azienda nell’applicare l’RFID al proprio business. Il secondo capitolo descrive le parti coinvolte nell’industria farmaceutica, dal produttore al consumatore finale, poi esamina le caratteristiche essenziali della supply chain farmaceutica e gli aspetti chiave e le criticità da affrontare in questo campo per essere efficiente e per consegnare il prodotto al cliente in maniera sicura e consistente. Infine nell’ultima sezione i due argomenti centrali sono fusi assieme, cercando di esaminare come la tecnologia RFID sia in grado di risolvere i problemi affrontati da tale industria. Il lavoro non vuole mostrare la tecnologia RFID come una panacea di tutte le problematiche presentate in questa industria, ma vuole cercare di colmare il gap presente in letteratura riguardo le possibili applicazioni di questa tecnologia nell’industria specificata.

Coordination in brazilian pharmaceutical supply chains

Supply chain coordination (SCC) can be a challenge for many organizations as different firms in the same chain has different expectations and interdependencies (Arshinder & Deshmukh, 2008). Lack of SCC can result in the bullwhip effect and poor performance for a firm and its partners. By investigating the phenomenon in the Brazilian pharmaceutical supply chain using a qualitative research, this paper aims to understand the main issues that avoid a better integrated chain. Results of 21 interviews suggested that the lack of coordination in this environment was influenced by the network design and the history of the sector in Brazil, as well as scarce resources

A knowledge driven approach towards the validation of externally acquired traceability datasets in supply chain business processes

The sharing of near real-time traceability knowledge in supply chains plays a central role in coordinating business operations and is a key driver for their success. However before traceability datasets received from external partners can be integrated with datasets generated internally within an organisation, they need to be validated against information recorded for the physical goods received as well as against bespoke rules defined to ensure uniformity, consistency and completeness within the supply chain. In this paper, we present a knowledge driven framework for the runtime validation of critical constraints on incoming traceability datasets encapuslated as EPCIS event-based linked pedigrees. Our constraints are defined using SPARQL queries and SPIN rules. We present a novel validation architecture based on the integration of Apache Storm framework for real time, distributed computation with popular Semantic Web/Linked data libraries and exemplify our methodology on an abstraction of the pharmaceutical supply chain.

Supply chain management in the pharmaceutical industry

The Key to Further Enhancing Shareholder Value

Gaining competitive advantage through your supply chain

Supply chain management in the pharmaceutical industry is the key to further enhancing shareholder value

EPCIS Event-Based traceability in pharmaceutical supply chains via automated generation of linked pedigrees

In this paper we show how event processing over semantically annotated streams of events can be exploited, for implementing tracing and tracking of products in supply chains through the automated generation of linked pedigrees. In our abstraction, events are encoded as spatially and temporally oriented named graphs, while linked pedigrees as RDF datasets are their specific compositions. We propose an algorithm that operates over streams of RDF annotated EPCIS events to generate linked pedigrees. We exemplify our approach using the pharmaceuticals supply chain and show how counterfeit detection is an implicit part of our pedigree generation. Our evaluation results show that for fast moving supply chains, smaller window sizes on event streams provide significantly higher efficiency in the generation of pedigrees as well as enable early counterfeit detection.

Detecting EPCIS exceptions in linked traceability streams across supply chain business processes

The EPCIS specification provides an event oriented mechanism to record product movement information across stakeholders in supply chain business processes. Besides enabling the sharing of event-based traceability datasets, track and trace implementations must also be equipped with the capabilities to validate integrity constraints and detect runtime exceptions without compromising the time-to-deliver schedule of the shipping and receiving parties. In this paper we present a methodology for detecting exceptions arising during the processing of EPCIS event datasets. We propose an extension to the EEM ontology for modelling EPCIS exceptions and show how runtime exceptions can be detected and reported. We exemplify and evaluate our approach on an abstraction of pharmaceutical supply chains.