DSMAP for Demand-to-Supply Planning

2020 ◽

Author(s):

M. Hamzah

Keyword(s):

Supply Chain ◽

Cost Savings ◽

Asia Pacific ◽

Potential Cost ◽

Alternative Scheme ◽

Safety Stocks ◽

Storage Location ◽

Supply Planning ◽

Drilling Site ◽

Drilling Project

Classical Oil Country Tubular Goods (OCTG) procurement approach has been practiced in the indus-try with the typical process of setting a quantity level of tubulars ahead of the drilling project, includ-ing contingencies, and delivery to a storage location close to the drilling site. The total cost of owner-ship for a drilling campaign can be reduced in the range of 10-30% related to tubulars across the en-tire supply chain. In recent decades, the strategy of OCTG supply has seen an improvement resulting in significant cost savings by employing the integrated tubular supply chain management. Such method integrates the demand and supply planning of OCTG of several wells in a drilling project and synergize the infor-mation between the pipes manufacturer and drilling operators to optimize the deliveries, minimizing inventory levels and safety stocks. While the capital cost of carrying the inventory of OCTG can be reduced by avoiding the procurement of substantial volume upfront for the entire project, several hidden costs by carrying this inventory can also be minimized. These include storage costs, maintenance costs, and costs associated to stock obsolescence. Digital technologies also simplify the tasks related to the traceability of the tubulars since the release of the pipes from the manufacturing facility to the rig floor. Health, Safety, and Environmental (HSE) risks associated to pipe movements on the rig can be minimized. Pipe-by-pipe traceability provides pipes’ history and their properties on demand. Digitalization of the process has proven to simplify back end administrative tasks. The paper reviews the OCTG supply methods and lays out tangible improvement factors by employ-ing an alternative scheme as discussed in the paper. It also provides an insight on potential cost savings based on the observed and calculated experiences from several operations in the Asia Pacific region.

Download Full-text

Investigation of Cost-Influencing Factors Potentially ‎Controllable by Main Contractors in Construction Projects in ‎Iraq

Engineering and Technology Journal ◽

10.30684/etj.v38i7a.546 ◽

2020 ◽

Vol 38 (7A) ◽

pp. 1069-1076

Author(s):

Layth T. Ali ◽

Raid S. Abid Ali ◽

Zeyad S. M. Khaled

Keyword(s):

Construction Projects ◽

Project Managers ◽

Cost Overrun ◽

Public And Private ◽

Importance Index ◽

Labor Recruitment ◽

Supply Planning ◽

Major Factors ◽

And Control ◽

The Impact

Cost overrun in construction projects is a common phenomenon in Iraq. This might occur due to diversity of factors. This study aims to identify the factors influencing construction projects cost that are potentially controllable by main contractors. A field study through a questionnaire survey was directed to a sample of related Iraqi professional engineers from general contracting companies at both public and private sectors. Their opinions on the impact and frequency of each factor were investigated. The questionnaire offered (59) factors classified in (8) categories namely; legislations, financial and economic, design, contractual, site management, material, labor and equipment. The factors were ranked according to the highest Relative Importance Index (RII). The study revealed (10) major factors that are potentially controllable by main contractors namely; labor productivity, sub-contractors and suppliers performance, equipment productivity, site organization and distribution of equipment, experience and training of project managers, scheduling and control techniques, planning for materials supply, planning for equipment supply, materials delivery and planning for skilled labor recruitment. Recommendations to aid contractors and owners in early identification of these factors are also included in this study.

Download Full-text

Long-Term Water Demand Forecasting for Sustainable Supply Planning

Proceedings of the Water Environment Federation ◽

10.2175/193864715819556462 ◽

2015 ◽

Vol 2015 (4) ◽

pp. 1-15

Author(s):

William Zimmerman ◽

Christopher McPhee

Keyword(s):

Water Demand ◽

Demand Forecasting ◽

Water Demand Forecasting ◽

Supply Planning

Download Full-text

A prototype system for short-term supply planning

Computers in Industry ◽

10.1016/0166-3615(92)90003-6 ◽

1992 ◽

Vol 19 (1) ◽

pp. 1-19 ◽

Cited By ~ 6

Author(s):

Brian Wall ◽

Paul Higgins ◽

Jim Browne ◽

Gerry Lyons

Keyword(s):

Prototype System ◽

Short Term ◽

Supply Planning

Download Full-text

Measuring the Complexity of Additive Manufacturing Supply Chains

Volume 2: Additive Manufacturing; Materials ◽

10.1115/msec2017-2871 ◽

2017 ◽

Author(s):

Ardeshir Raihanian Mashhadi ◽

Sara Behdad

Keyword(s):

Supply Chain ◽

Additive Manufacturing ◽

Supply Chains ◽

Product Complexity ◽

Information Theoretic ◽

Manufacturing Method ◽

Management Domain ◽

Information Theoretic Measures ◽

Production Cycles ◽

Supply Planning

Complexity has been one of the focal points of attention in the supply chain management domain, as it deteriorates the performance of the supply chain and makes controlling it problematic. The complexity of supply chains has been significantly increased over the past couple of decades. Meanwhile, Additive Manufacturing (AM) not only revolutionizes the way that the products are made, but also brings a paradigm shift to the whole production system. The influence of AM extends to product design and supply chain as well. The unique capabilities of AM suggest that this manufacturing method can significantly affect the supply chain complexity. More product complexity and demand heterogeneity, faster production cycles, higher levels of automation and shorter supply paths are among the features of additive manufacturing that can directly influence the supply chain complexity. Comparison of additive manufacturing supply chain complexity to its traditional counterpart requires a profound comprehension of the transformative effects of AM on the supply chain. This paper first extracts the possible effects of AM on the supply chain and then tries to connect these effects to the drivers of complexity under three main categories of 1) market, 2) manufacturing technology, and 3) supply, planning and infrastructure. Possible impacts of additive manufacturing adoption on the supply chain complexity have been studied using information theoretic measures. An Agent-based Simulation (ABS) model has been developed to study and compare two different supply chain configurations. The findings of this study suggest that the adoption of AM can decrease the supply chain complexity, particularly when product customization is considered.

Download Full-text