Pomiar wydajności zarządzania zielonymi łańcuchami dostaw

Only what is measured can be managed properly. And the measurement process should serve a continuous improvement of companies and whole supply chains. Data from the performance measurement system should cause an increase of cooperation and help in taking right decisions about changes at the operational level, and on the other hand, are an important information when redefining strategies. This will allow for the development of the supply chain based on knowledge, in which the scope of cooperation is literally unlimited (including green aspects). There are two basic approaches to measuring the performance of supply chains: a comprehensive measurement that measures the results of the entire chain (which can be divided into individual tiers and levels) and partial measurement when we measure only certain aspects. Often, in practice, only measurement of separately operating companies is practiced by companies, not throughout chains. And the problem is even more evident when it comes to measuring performance of green activities in integrated supply chains. The paper presents the possibilities of evaluation of GSCM performance. The major challenges and obstacles are presented and assessed.Tylko to, co jest mierzone, może być właściwie zarządzane. Proces pomiaru powinien służyć ciągłemu doskonaleniu przedsiębiorstw i całych łańcuchów dostaw. Dane z systemu pomiaru powinny powodować wzrost współpracy i pomagać w podejmowaniu decyzji o zmianach na poziomie operacyjnym, a z drugiej strony może to być ważna informacja przy przedefiniowaniu strategii. Pozwala to na rozwój łańcuchów dostaw opartych na wiedzy, gdzie zakres współpracy jest dosłownie nieograniczony (dotyczy to również aspektów ekologicznych). Istnieją dwa podstawowe podejścia do pomiaru wydajności łańcucha dostaw: kompleksowy pomiar, który patrzy na wyniki całego łańcucha (który można rozdzielić na poszczególne szczeble i poziomy), oraz pomiar częściowy, gdy mierzymy tylko niektóre aspekty. Często praktykowany jest tylko pomiar oddzielnie działających firm, a nie całego łańcucha. Problem jest jeszcze bardziej widoczny, jeśli chodzi o pomiar wydajności działań ekologicznych w zintegrowanych łańcuchach dostaw. W artykule opisano możliwości oceny wyników GSCM. Przedstawiono i oceniono główne wyzwania i przeszkody stojące przed pomiarem wyników zielonych łańcuchów dostaw

Critical Management Issues for Implementing RFID in Supply Chain Management

The benefits of radio frequency identification (RFID) technology in the supply chain are fairly compelling. It has the potential to revolutionise the efficiency, accuracy and security of the supply chain with significant impact on overall profitability. A number of companies are actively involved in testing and adopting this technology. It is estimated that the market for RFID products and services will increase significantly in the next few years. Despite this trend, there are major impediments to RFID adoption in supply chain. While RFID systems have been around for several decades, the technology for supply chain management is still emerging. We describe many of the challenges, setbacks and barriers facing RFID implementations in supply chains, discuss the critical issues for management and offer some suggestions. In the process, we take an in-depth look at cost, technology, standards, privacy and security and business process reengineering related issues surrounding RFID technology in supply chains

SUPPLY NETWORK CONFIGURATION USING THE VALUE ENGINEERING BASED METHOD

Supply network configuration considers the whole business logistics to maximize the economic performance of an enterprise. It is a complex strategic decision problem that concerns the long-term organization of suppliers, production factories, distribution centers, and manufacturing resources, thus an efficient decision support is necessary. This paper proposes a decision support method for the supply network optimization. In this method, the business process of a supply chain is described by the Supply Chain Operations References (SCOR) models firstly. Then the value of business processes in the supply chain is evaluated using the Value Engineering (VE) methodology, wherein the processes are defined by function analysis with quantitative comparison to select key functions. And the concept of quality and robustness of Taguchi method is applied to evaluate the performance of different alternatives which are generated by key functions. A case application of global enterprise is elaborated. The results show that the proposed model can effectively optimize the supply network configuration

Beyond Control-Flow: Extending Business Process Configuration to Roles and Objects

A configurable process model is an integrated representation of multiple variants of a business process. It is designed to be individualized to meet a particular set of requirements. As such, configurable process models promote systematic reuse of proven or common practices. Existing notations for configurable process modeling focus on capturing tasks and control-flow dependencies, neglecting equally important aspects of business processes such as data flow, material flow and resource management. This paper fills this gap by proposing an integrated meta-model for configurable processes with advanced features for capturing resources involved in the performance of tasks (through task-role associations) as well as flow of data and physical artifacts (through task-object associations). Although embodied as an extension of a popular process modeling notation, namely EPC, the meta-model is defined in an abstract and formal manner to make it applicable to other notations

Towards a Process Reference Model for Information Supply Chain Management

High-quality information is a prerequisite for companies to accomplish business and strategic goals, such as global reporting, customer relationship management or compliance with legal provisions. During the last years, experts in the field of information quality begun to realize that a paradigm shift is needed to solve information quality issues in organizations. Information should be treated as a product and information quality is possible only through the quality management of information supply chains. The paper at hand contributes to this new direction by proposing a process reference model for quality management of information supply chains (Information Product Supply Chain Management, IPSCM) by leveraging the SCOR-Model, a widely accepted standard for supply chain management. The IPSCM-Model enables users to address, improve, and communicate information creation practices within and between all interested parties

SGSC Framework: Smart Government in Supply Chain Based on FODA

Smart System has implemented in government sector. There are varies Implementation that was utilized by research activities for numerous domains is very broad. Besides that, the Industry, transportation and health, also where such a system is incredibly beneficial. This study discuss supply chain and governmental link issue, coordination of all stakeholder in supply chain has to reflect the government role. It support with the condition in Indonesian government environment is unique. It is a challenge to construct smart system based on Feature Oriented Domain Analysis (FODA) approach. It can produce software product line (SPL). We proposed framework for develop software product line for smart supply chain in government sector. It is used to enhance and improve the development of software systems by multiple software system developers. It will be a guidance for construct smart government, and more specificity in supply chain for government system area environment. It is called SGSC Framework. It consists of four layers, such as optimization layer, integration layer, supply chain layer and data layer

Defining PPIs for Process Variants based on Change Patterns

Business Process (BP) families are made up of BP variants that share commonalities but also show differences to accommodate the speci c necessities of different application contexts (i.e., country regu- lations, industrial domain, etc.). Even though there are modelling tech- niques to represent these families (e.g., C-EPC, Provop), there is no work aimed at the performance measurement of the different BP variants that conform the family. Process Performance Indicators (PPI) are commonly used to study and analyse the performance of business processes. How- ever, the application of such indicators in BP families increases the mod- elling and management complexity of the whole family. To deal with this complexity, this work introduces a modelling solution for managing PPI variability based on the concepts of change patterns for process fami- lies (CP4PF). The proposed solution includes a set of patterns aimed at 1) reducing the number of operations required to specify PPIs and 2) ensuring PPI family correctness.Ministerio de Economía y Competitividad TIN2015-70560-RJunta de Andalucía P12-TIC-1867Junta de Andalucía P10-TIC-5906Ministerio de Economía y Competitividad TIN2013-42981-PMinisterio de Economía y Competitividad TIN2014-53986-RED

A supply chain collaboration solution using XQuery

Enterprises in a collaborative supply chain share information for quick and intelligent decision making. Collaborative Planning, Forecasting and Replenishment (CPFR), a business model developed by an organization called Voluntary Inter-industry Commerce Standards, defines a set of business processes to collaborate on planning, forecasting and replenishment activities to arrive at a common order. This involves sharing sales forecast, order forecast and promotion information among business partners. The Internet has paved the way for using Web Services to share this information as XML data in real time and to make it available across enterprises. Enterprises need to access this information and integrate it with the information available in their databases, Excel sheets and XML applications. This thesis discusses the development of an information architecture using XQuery (a declarative query language by W3C) for aggregating data from disparate data, and evaluates XQuery as a tool to enable information integration for supply chain collaboration. For this purpose, several CPFR scenarios are identified where two retailers share their sales forecast, order forecast and promotion forecast information with the manufacturer. A prototype application is developed which can fetch data from disparate data sources such as Web Service, XML databases and CSV files, aggregate it, and use it to identify exceptions in forecasts and calculate the key performance indicators (KPI). These KPIs are then presented as an executive dashboard using Visual FoxPro. This Dashboard presents information graphically and enables executives to track the performance of the supply chain, and hence enables them to make quick and intelligent decisions

Increasing integration across the supply chain through an approach to match performance and risk

It is well known by researchers and practitioners that shared risks among actors support integration and collaboration across a supply chain. Moreover many authors have linked risk to performance contribution. Nevertheless these ideas remain still theoretical and in literature applications are missing. The aim of this study is to develop a logical framework in which risk, performance and actors are connected each other. The goal is using the framework as a tool to recognize unbalanced supply chains and the best way to improve them. The benefit should be a better integration among supply chain actors. The logical framework has been thought and then applied in the case of an Integrated Logistic Support (ILS) service