Combating Petroleum Movable Assets Theft Through Supply Chain Management System

2021 ◽  
Author(s):  
Chinyere Obi ◽  
Henry Ijomanta ◽  
Ebuka Ifeduba ◽  
Oluchukwu Okoh

Abstract The Niger Delta land and swamp operators have endured severe hostility, theft, and asset vandalism over time. The offshore assets seem insulated from these incessant thefts due to difficulty accessing the facility and the compactness of the operations resulting in efficient security surveillance. However, this is not the case for land and swamp assets, usually with wide asset footprints resulting from traditional, supposedly easy, and low-cost development concepts. These conventional concepts resulted in wells drilled from multiple locations with multiple flowlines/pipelines crossing many communities and making efficient surveillance a near impossible activity. The attackers usually target movable assets like wellhead accessories, Christmas tree, and flowlines in low-activity areas, and the non-active wells/flowlines are good minimal risk candidates. This act increases the cost of operations and, in most cases, results in environmental pollution because the vandals do not take the necessary precautions as needed for environmentally safe operations. Interestingly, in most cases, these stolen assets find their way into the local market, where they are refurbished and resold to unsuspecting operators. To curb this menace, an opportunity exists for industry collaboration by applying an intelligent supply chain and asset inventory management system. This paper reviews the current asset protection techniques, evaluates the value at risk, and proposes innovative ways of combating theft using digital technology and intelligent asset management techniques.

Author(s):  
Oryza Putri Suriana ◽  
Alfan Reynaldo ◽  
Muhammad Dwi Ferdian Suwardi ◽  
Indra Kusumadi Hartono

2021 ◽  
Author(s):  
Sara Hajihashemi ◽  
Reza Alizadeh ◽  
Janet K. Allen ◽  
Farrokh Mistree

Abstract With increasing concerns about global warming caused by greenhouse gasses (GHGs), organizations have become more responsible for their operations. According to the U.S. Environmental Protection Agency (EPA), companies with a supply chain (SC) generate about 42% of GHGs in their transportation (30%) and inventory systems (12%), which makes mitigating climate change through a green supply chain (GSC) management a reasonable solution. To design a GSC, we model the SC as a customer and store network, with customers driving in cars to and from stores and the retailer resupplying the stores from a central warehouse. The number and location of stores are determined to find a low-cost and low emission configuration for the SC. The key findings are (1) SCs with more small stores generate less emission than ones with fewer large stores; (2) when minimizing the operating cost is more important than mitigating GHG emissions, fewer large stores are preferred than having more small stores; (3) a SC with two warehouses reduces the number of open stores in a large area such as Puerto Rico. Our contributions are (1) building a model of a GSC based on population data; (2) modeling a GSC in a two-echelon network which can be solved simultaneously using the k-median approach; (3) evaluating the effect of multiple warehouses on the overall GHGs emissions; (4) managing the incompleteness and inaccuracy of the data through implementing the compromise Decision Support Problem construct to identify satisficing solutions. The model mentioned earlier highlights the important parameters that impact the green GHG emissions reduction from a SC that describe in this paper. We also discuss how this approach can be employed for other design problems, including manufacturing and healthcare.


2011 ◽  
pp. 258-279
Author(s):  
Mahesh Sarma ◽  
David C. Yen

In order to maintain a competitive position in today’s marketplace, companies must demand a greater level of enterprise ef?ciency. In today’s rapidly changing market, experts argue that it is no longer about becoming a powerhouse but simply about remaining competitive. That is why automating and linking the supply chain has become so imperative. Supply chain management systems link all of the company’s customers, suppliers, factories, warehouses, distributors, carriers, and trading partners. These systems integrate all the key business processes across the supply chain of a company. This chapter explains the objectives of sup-ply chain management and how SAP’s supply chain management system helps companies ful?ll these objectives.


Author(s):  
N. Anbazhagan

Supply Chain Management (SCM) is the practice of coordinating the flow of goods, services, information and finances as they move from raw materials to parts supplier to manufacturer to wholesaler to retailer to consumer. Different supply chains have been designed for a variety of firms and this chapter discusses some issues in this regard. This chapter attempts to find why we require different supply chain for different companies. In this chapter we discuss the role of stochastic models in supply chain management system, and also discuss other mathematical models for SCM.


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