Evaluating the Operations of an LNG Shipping Company with Business Process Modelling

2021 ◽  
Author(s):  
George O. Andreadis ◽  
Christos Papaleonidas ◽  
Dimitrios V. Lyridis

Liquefied Natural Gas (LNG) industry is a typical example for which various business models, strategies, and affiliated interests exist, making it highly complex in terms of operations. The extended supply chain, from liquefaction to regasification, combined with multilateral contractual relationships that crossover, make efficient operation a challenging task. Considering barriers such as the volume of transactions, communication hurdles, etc., and the lack of contemporary management tools by shipping companies contrary to other industries, the paper proposes a model structure based on Business Process Modelling (BPM). The proposed BPM concept offers a holistic view of company organization and operations, as well as enables control of key performance indicators. Implementing intelligent computer systems to model an inter-organizational business environment to highlight and overcome such problems, is the ultimate goal of the study. This paper offers a coherent perspective of business process visualization across the midstream section of the LNG supply chain, including roles, tasks and resources. The research highlights commonly used business models, the contractual framework, and the physical processes. The volume of the information leads to knuckle points and dysfunctions related to time, transparency and work assignment. It is underlined that the occurring issues relate to the nature of LNG projects, business policies, safety and compliance issues, document transaction load and mishandling, disputes over SPAs, as well as to subjects of goodwill and partnership, unstandardized procedures executed empirically, and concurring office intervention. The aim of the study is the identification of the aforementioned problems that prevent an LNG shipping company from extracting the added value from its operation.

2005 ◽  
Vol 32 (4) ◽  
pp. 403-420 ◽  
Author(s):  
D. V. Lyridis ◽  
T. Fyrvik ◽  
G. N. Kapetanis ◽  
N. Ventikos ◽  
P. Anaxagorou ◽  
...  

2020 ◽  
Vol 3 (2) ◽  
pp. 185-198
Author(s):  
Nania Nuzulita ◽  
Rheinata Saskya Aziizah Djohan ◽  
Salsabila Roiqoh

Supply Chain Management (SCM) aims to maximize the value of the products produced to meet customers' needs and demands. This study aims to conduct an assessment of Supply Chain Management at MS Company and suggested BPMN with adjusted business processes. The Business Process Model and Notation (BPMN) approach is useful for describing complex business process modelling in detail but still easy to understand. Thus, it can minimize errors in implementing business processes. We used the study case approach to conduct this research by studying several journals related to SCM. A discussion was then held to improve the four main processes associated with SCM, and the improvement was written by using BPMN. This study explains that BPMN can be used to give detail and minimize errors so that the modified business process modelling is easy to understand and facilitates communication between business process designers and business process executors. Some MS company improvement in its SCM includes production scheduling, goods procurement, production implementation, and warehouse management. It is suggested that further observation and examination of the improved SCM is needed to prove the new SCM's success in the midst of the covid-19 pandemic.


2019 ◽  
Vol 32 (2) ◽  
pp. 203-224
Author(s):  
Monica Lopez-Campos ◽  
Salvatore Cannella ◽  
Pablo A. Miranda ◽  
Raul Stegmaier

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 a fully collaborative replenishment model. The study details the information flow required to implement new SC collaboration strategies, clarifying a specific strategy for information sharing involving inventory levels (on hand, in process, etc.), orders and demand forecast. Design/methodology/approach The authors suggest the adoption of business process modelling (BPM) methodology, aimed at identifying which information should be shared by SC partners, in order to create fully collaborative strategies. Findings The features of BPM allow for the effortless integration of the modelled information collaboration strategies into a general network information system, creating a flexible structure that can be quickly and even automatically adapted to new conditions. Research limitations/implications In this paper, a serial SC has been analysed, but enterprises also commonly manage more complex kind of chains. Chains composed of more than one member in the same echelon, divergent chains, convergent chains, network chains are all different configurations that require their own algorithm. The authors use the order up to policy, but there are other policies that can be considered to extend the scope of the model. Practical implications BPM, specifically through Unified Modelling Language (UML) and Business Process Modelling Notation standards, represents a suitable technique to develop and implement new SC collaboration practices, serving as a communication link between managers and software developers. Social implications The expected results of this work imply the proposal of a reference model for collaborative supply chain (CSC) organisations, contributing to the enhancement of value creation for the whole CSC. Originality/value The aim of this paper is to clarify the information-sharing algorithm required to implement a collaborative structure for an SC. This algorithm is expressed using the BPM technique, specifically UML and Business Process Model and Notation standards.


2019 ◽  
Vol 25 (5) ◽  
pp. 948-971
Author(s):  
Kanana Ezekiel ◽  
Vassil Vassilev ◽  
Karim Ouazzane ◽  
Yogesh Patel

Purpose Changing scattered and dynamic business rules in business workflow systems has become a growing problem that hinders the use and configuration of workflow-based applications. There is a gap in the existing research studies which currently focus on solutions that are application specific, without accounting for the universal logical dependencies between the business rules and, as a result, do not support adaptation of the business rules in real time. The paper aims to discuss this issue. Design/methodology/approach To tackle the above problems, this paper adopts a bottom-up approach, which puts forward a component model of the business process workflows and then adds business rules which have clear logical semantics. This allows incremental development of the workflows and semantic indexing of the rules which govern them during the initial acquisition. Findings The paper introduces an event-driven model for development of business workflows which is purely logic-based and can be easily implemented using an object-oriented technology, together with a model of the business rules dependencies which supports incremental semantic indexing. It also proposes a two-level inference mechanism as a vehicle for controlling the business process execution and the process of adaptation of the business rules at real time based on propagating the dependencies. Research limitations/implications The framework is strictly logical and completely domain-independent. It allows to account both synchronous and asynchronous triggering events as well as both qualitative and quantitative description of the conditions of the rules. Although our primary interest is to apply the framework to the business processes typical in the construction industry we believe our approach has much wider potential due to its strictly logical formalization and domain independence. In fact it can be used to control any business processes where the execution is governed by rules. Practical implications The framework could be applied to both large business process modelling tasks and small but very dynamic business processes like the typical digital business processes found in online banking or e-Commerce. For example, it can be used for adjusting security policies by adding the capability to adapt automatically the access rights to account for additional resources and new channels of operation which can be very interesting ion both B2C and B2B applications. Social implications The potential scope of the impact of the research reported here is linked to the wide applicability of rule-based systems in business. Our approach makes it possible not only to control the execution of the processes, but also to identify problems in the control policies themselves from the point of view of their logical properties – consistency, redundancies and potential gaps in the logics. In addition to this, our approach not only increases the efficiency, but also provides flexibility for adaptation of the policies in real time and increases the security of the overall control which improves the overall quality of the automation. Originality/value The major achievement reported in this paper is the construction of a universal, strictly logic-based event-driven framework for business process modelling and control, which allows purely logical analysis and adaptation of the business rules governing the business workflows through accounting their dependencies. An added value is the support for object-oriented implementation and the incremental indexing which has been possible thanks to the bottom-up approach adopted in the construction of the framework.


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