E-commerce Order Fulfillment Supply Chain—How New Entrants Are Changing the Industry

PurposeAs we move up in the supply chain (SC) from retailer to supplier, amplification in the fluctuation of order increased. To minimize this amplification, understanding of key decision variables which affects the SC is essential. So, in the present work the authors developed a novel approach to examine the structural dependencies among variables responsible for perfect order fulfillment (POF).Design/methodology/approachInterpretive structural modeling approach has been used to model the structural relationship among the key SC variables. Further, to study the driver-dependence dynamics among variables MICMAC analysis has been used. In the second phase, the influence of driver variables on the POF is investigated by using fuzzy logic.FindingsFrom the results, it is observed that the variables’ delivery time, number of echelons, data accuracy and information sharing have high driving power which may help the organizations to meet challenges offered by POF. The results showed that for POF is said to be at optimum level when the number of echelons should be low and data accuracy should be high, and information sharing among all partners should also be very high.Research limitations/implicationsResearch on SC is classified into three categories, i.e. operational, design and strategic. In the present study authors discussed strategic variables responsible for POF which is the main limitation of the study. The work can be extended by including operational and design variables.Practical implicationsPOF in SC network is affected by various variables. The in-depth understanding of contextual association among the variables helps the managers to improve the efficiency of the SC and reduce the bullwhip effect across the downstream SC network.Originality/valueThe study presents a hybrid approach to analyze the key POF dimensions, i.e. forecasting, number of echelons, information sharing, cycle time and delivery time, critical to POF in downstream SC network by developing various case settings.

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Case study: Optimizing order fulfillment in a global retail supply chain

International Journal of Production Economics ◽

10.1016/j.ijpe.2009.08.020 ◽

2010 ◽

Vol 127 (2) ◽

pp. 278-291 ◽

Cited By ~ 15

Author(s):

Yousef Amer ◽

Lee Luong ◽

Sang-Heon Lee

Keyword(s):

Supply Chain ◽

Order Fulfillment

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RANTAI PASOK KOMODITAS KACANG TANAH DI KABUPATEN MUNA

Jurnal Sosio Agribisnis ◽

10.33772/jsa.v4i1.7422 ◽

2019 ◽

Vol 4 (1) ◽

Author(s):

Abdul Rahman ◽

Usman Rianse ◽

Sitti Aida Adha Taridala

Keyword(s):

Supply Chain ◽

Random Sampling ◽

Sampling Method ◽

Simple Random Sampling ◽

Supply Chain Performance ◽

Good Position ◽

Order Fulfillment ◽

Snowball Sampling ◽

Qualitative Descriptive ◽

Model Approach

This research aims to analyze (1) supply chain path, and (2) the performance of a supply chain commodity peanut Muna Regency. Sampling method used in this research was simple random sampling and snowball sampling. Supply chain path analyzed in qualitative descriptive. Supply chain performance is analyzed with a model approach to Supply Chain Operations Reference (SCOR). The results showed that members of the supply chain consists of peanut farmers, village collector (PPD), Sub-district collector (PPK) and inter-insular traders (PAP). There are three pathways of a supply chain that is a path I: farmer → PPD → PAP; path II: farmer → PPK → PAP; and path III: farmer → PAP. Supply chain performance attributes based on shipping and order fulfillment cycle, farmers are in the position and traders are at a good position..Keywords: peanuts; supply chains; traders; SCOR

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KINERJA RANTAI PASOK SAYURAN DENGAN PENDEKATAN SCOR (Studi Kasus: Pondok Pesantren Al-Ittifaq di Kabupaten Bandung)

Jurnal Agribisnis Indonesia ◽

10.29244/jai.2019.7.2.113-128 ◽

2019 ◽

Vol 7 (2) ◽

pp. 113-128

Author(s):

Dwi Putriana Nuramanah Kinding ◽

Wahyu Budi Priatna ◽

Lukman M. Baga

Keyword(s):

Supply Chain ◽

Best Practices ◽

Superior Performance ◽

Supply Chain Performance ◽

Order Fulfillment ◽

Common Goal ◽

Delivery Performance ◽

Scor Model ◽

Fresh Vegetables ◽

A Company

Knowing the performance of a company is needed in order to be able to determine the extent to which goals have been achieved. The final objective of this research was to analyze the performance of Al-Ittifaq vegetable supply chain for each of its members in order to achieve a common goal, by maximizing the resources they have with their best practices. The analytical method used in this research was the Supply Chain Operational Reference (SCOR) model by considering the internal and external attributes of the foodSCOR card. The four attributes used in this study were reliability, responsiveness, agility ,and assets. The results of measuring internal performance in the supply chain at all levels in the responsiveness and agility attributes had achieved superior performance positions on the foods card. The value of Al-Ittifaq vegetable supply chain performance on reliability attributes in conformity performance with the standards was still in the advantage position, while the delivery performance and order fulfillment were already in a superior position. The internal performance of the Al-Ittifaq vegetable supply chain in each section for the cash to cash cycle time attribute had reached a superior position. The daily inventory performance was still in the advantage position, therefore Al-Ittifaq it still needs improvement in performance by not doing a daily inventory to reduce storage costs and to always provide fresh vegetables.

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Pengukuran Kinerja Manajemen Rantai Pasokan dengan SCOR Model 9.0 (Studi Kasus di PT Indocement Tunggal Prakarsa Tbk)

Jurnal Manajemen dan Organisasi ◽

10.29244/jmo.v2i3.14211 ◽

2016 ◽

Vol 2 (3) ◽

pp. 89 ◽

Cited By ~ 1

Author(s):

Anas Mutakin ◽

Musa Hubeis

Keyword(s):

Supply Chain ◽

Customer Service ◽

Cycle Time ◽

Performance Metrics ◽

Chain Structure ◽

Order Fulfillment ◽

Scor Model ◽

Low Performance ◽

Supply Chain Structure ◽

The Cost

The objectives of this research were (1) Assess the supply chain structure of cement products in PT Indocement Induk Prakarsa (ITP) Tbk; (2) Conduct performance measurement of supply chain management (SCM) for cement products in PT ITP Tbk approach Supply Chain Operations Reference (SCOR) model version 9.0; (3) Provide alternatives solution to the problem after the measurement is known along with suggestions of measurement and analysis activities of SCM at PT ITP Tbk. Calculation of performance metrics level 1 is the perfect order fulfillment (POF) 82.43%, order fulfillment cycle time (OFCT) 2 days, the cost of good sold (COGS) 53.84% and cash-to-cash cycle time (CTCCT) 53 days. Opportunity value that is calculated using the lost opportunity measure (LOM) is a POF registration COGS Rp 552,146,310,636 and Rp 127,956,658,590. The mapping level 2 shows PT ITP Tbk have performance lowest deliver process, because the expedition and transportation of cement is less effective and efficient in sending customer orders. Mapping level 3 shows in detail the process of delivering PT ITP Tbk, so it can answer why deliver a low performance. From the results of the overall SCM performance PT ITP Tbk good enough, but needs to be improved on the expedition and the distribution of transportation to reach the target business objectives set PT ITP Tbk, which is improving customer service and increase profits.

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Data Mining for Supply Chain Management in Complex Networks

Encyclopedia of Information Science and Technology, First Edition ◽

10.4018/978-1-59140-553-5.ch124 ◽

2005 ◽

pp. 708-713

Author(s):

Mahesh S. Raisinghani ◽

Manoj K. Singh

Keyword(s):

Data Mining ◽

Supply Chain ◽

Supply Chain Management ◽

Business Processes ◽

Supply And Demand ◽

Organizational Level ◽

Order Fulfillment ◽

Chain Management ◽

Planning And Control ◽

And Control

Supply chain comprises the flow of products, information, and money. In traditional supply chain management, business processes are disconnected from stock control and, as a result, inventory is the direct output of incomplete information. The focus of contemporary supply chain management is to organize, plan, and implement these flows. First, at the organizational level, products are manufactured, transported, and stored based on the customers’ needs. Second, planning and control of component production, storage, and transport are managed using central supply management and replenished through centralized procurement. Third, the implementation of the supply chain involves the entire cycle from the order-entry process to order fulfillment and delivery. Data mining can create a better match between supply and demand, reducing or sometimes even eliminating the stocks.

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System Dynamics Simulation of a Supply Chain Intelligence Model

Innovative Solutions for Implementing Global Supply Chains in Emerging Markets - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-4666-9795-9.ch004 ◽

2016 ◽

pp. 71-83 ◽

Cited By ~ 1

Author(s):

Debasri Dey ◽

D. Sinha

Keyword(s):

Supply Chain ◽

System Dynamics ◽

Production Rate ◽

Return On Investment ◽

Systems Approach ◽

External Environment ◽

Dynamics Simulation ◽

Order Fulfillment ◽

Root Cause ◽

Individual Nodes

Supply chains today are, primarily, measured by Key Performance Indicators (KPIs) such as order-fulfillment, availability to the consumer (percent in-stock) and cost reduction, as well as financial KPIs such as return on investment (ROI), return on brand equity and inventory. These KPIs measure the performance of supply chain as a whole. A supply chain is a network of nodes. The performances of individual nodes are measured with KPIs such as production rate, shipment rate, inventory and the like. These metrics may indicate the performance but may not indicate the cause of such performance. For example, a node whose production rate is below the desired level may be because of poor supply of inputs of production by its supplier node.Thus mere identification of KPIs and their evaluation will not enable to identify the root cause of a problem in a supply chain. Therefore, we need a business intelligence framework that will satisfy the objectives, namely, identification of outcome of each node of the supply chain and its cause. The existing Supply Chain Intelligence (SCI) frameworks aims at identifying metrics that reflect the performance of individual nodes and the total supply chain, but fail to identify the cause of such outcomes. It implies that the linkages or association between the KPIs of individual nodes are required to be identified and defined. In this paper, contingency and systems approach has been used to identify the dimensions of the firm, its internal environment, the complement and the external environment. A system dynamics based approach has been used to identify the causality and resulting behavior of the supply chain. The paper proposes a SCI framework and a System dynamics Model that help in identifying the reasons for supply chin performance and lead to the actions required to be taken for improvement in performance of the supply chain.

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