Supply Chain Startups in India

2021 ◽  
pp. 1014-1039
Author(s):  
Som Sekhar Bhattacharyya ◽  
Apurva Shrey
Keyword(s):  
Supply Chain ◽  
Business Models ◽  
Reference Model ◽  
Venture Capitalists ◽  
Secondary Sources ◽  
Business Model Canvas ◽  
Scor Model ◽  
Development Teams ◽  
Operational Activities ◽  
Supply Chain Operation

Supply chain management (SCM) has become a critical business function. SCM has become such a specialized function that dedicated firms on SCM has emerged. Startups in SCM domain target to reduce the inefficiencies through technological interventions and innovative business models. This chapter focuses on 10 Indian supply chain startups. These startups were analyzed based on supply chain drivers, supply chain operation reference model (SCOR), and using business model canvas (BMC). The case data was collected through secondary sources and analyzed through the cross-case analysis. It was found that the SCM startups were focusing more on transportation driver. SCOR model analysis demonstrated that the SCM startups assisted in operational area of the SCM where they carried out operational activities and decision making. BMC analysis revealed that startups were asset light and resources held by these startups were the financial funding which the firm secured through venture capitalists and software development teams.

Supply Chain Startups in India

2019 ◽  
pp. 320-344 ◽  
Author(s):  
Som Sekhar Bhattacharyya ◽  
Apurva Shrey
Keyword(s):  
Supply Chain ◽  
Business Models ◽  
Reference Model ◽  
Venture Capitalists ◽  
Secondary Sources ◽  
Business Model Canvas ◽  
Scor Model ◽  
Development Teams ◽  
Operational Activities ◽  
Supply Chain Operation

Supply chain management (SCM) has become a critical business function. SCM has become such a specialized function that dedicated firms on SCM has emerged. Startups in SCM domain target to reduce the inefficiencies through technological interventions and innovative business models. This chapter focuses on 10 Indian supply chain startups. These startups were analyzed based on supply chain drivers, supply chain operation reference model (SCOR), and using business model canvas (BMC). The case data was collected through secondary sources and analyzed through the cross-case analysis. It was found that the SCM startups were focusing more on transportation driver. SCOR model analysis demonstrated that the SCM startups assisted in operational area of the SCM where they carried out operational activities and decision making. BMC analysis revealed that startups were asset light and resources held by these startups were the financial funding which the firm secured through venture capitalists and software development teams.

Using Supply Chain Operation Reference Model and Failure Mode and Effect Analysis to Measure Delivery Performance of a Distribution System (Case Study: Lotte Mart Indonesia)

2014 ◽  
Vol 1 (4) ◽  
pp. 173
Author(s):  
Syarif Hidayat ◽  
Sita Ayu Astrellita
Keyword(s):  
Supply Chain ◽  
Distribution System ◽  
Performance Indicator ◽  
Reference Model ◽  
Chain Model ◽  
Effect Analysis ◽  
Chain Operation ◽  
Scor Model ◽  
Perfect Order ◽  
Supply Chain Operation

This research was conducted to identify the supply chain model of PT. Lotte Mart Indonesia (LMI) and analyze the performance of its cross dock distribution system using the adjusted Supply Chain Operation Reference (SCOR) model. The products studied were the fastest moving drinks and dairy category.  The first level of performance indicator for Reliability attribute is Perfect Order Fulfillment which has the second level of performance indicators are % of Orders Delivered in Full, and On Time Delivery. The supply chain performance for 3 months in 2012 was good at 74%. The second level mapping found errors in the deliver stock (D1) and deliver retail (D4) procedures. The third level mapping found 4 erroneous procedures in the stock-out goods, receiving inappropriate order, delayed and damaged goods, and a gap between ordered and received goods.  Procedures were suggested to remedy these errors.

Supply Chain Simulation Modeling Using the Supply Chain Operations Reference Model

2003 ◽  
Author(s):  
Jeffrey W. Hermann ◽  
Edward Lin ◽  
Guruprasad Pundoor
Keyword(s):  
Supply Chain ◽  
Simulation Modeling ◽  
Reference Model ◽  
Discrete Event ◽  
Simulation Models ◽  
Supply Chain Performance ◽  
Simulation Framework ◽  
Event Simulation ◽  
Scor Model ◽  
Supply Chain Simulation

Simulation is a very useful tool for predicting supply chain performance. Because there are no standard simulation elements that represent accurately the activities in a supply chain, there exist a variety of approaches for developing supply chain simulation models. To improve this situation, this paper describes a novel supply chain simulation framework that follows the Supply Chain Operations Reference (SCOR) model. This framework has been used for building powerful simulation models that integrate discrete event simulation and spreadsheets. The simulation models are hierarchical and use submodels that capture activities specific to supply chains. The SCOR framework provides a basis for defining the level of detail in a way as to include as many features as possible, while not making them industry specific. This approach enables the reuse of submodels, which reduces development time. The paper describes the implementation of the simulation models and how the submodels interact during execution.

scholarly journals PENGUKURAN KINERJA RANTAI PASOK DENGAN PENDEKATAN SUPPLY CHAIN OPERATION REFERENCE (SCOR) PADA KELOMPOK TANI DI PACITAN

Agrika ◽  
2018 ◽  
Vol 12 (2) ◽  
Author(s):  
Adi Budiwan ◽  
Ramon Syahrial
Keyword(s):  
Supply Chain ◽  
Scoring System ◽  
Grinding Process ◽  
Traffic Light ◽  
Product Failure ◽  
Light System ◽  
Chain Operation ◽  
Scor Model ◽  
Supply Chain Operation

Tujuan penelitian ini adalah merancang sistem pengukuran kinerja rantai pasok serta memberikan usulan perbaikan berdasarkan hasil pengukuran kinerja rantai pasoknya. Penelitian dilakukan pada kelompok tani di Kabupaten Pacitan. Hasil rancangan pengukuran kinerja rantai pasok adalah 24 KPI yang dibagi ke dalam lima proses manajemen dasar rantai pasok, yaitu: plan, source, make, deliver dan return. Identifikasi KPI diperoleh dari kerangka SCOR model. Dengan konsep AHP diperoleh bobot untuk masing-masing perspektif yaitu plan (0,233); source (0,120); make (0,555), deliver (0,060) dan return (0,032). Pada tahap pengukuran, proses scoring system menggunakan proses normalisasi Snom De Bour, selanjutnya dengan analisis traffic light system yaitu untuk mengetahui pencapaian performasi KPI melalui tiga warna (merah, kuning dan hijau) sebagai indikator. Dari hasil pengukuran performansi terdapat 2 KPI yang memiliki kinerja rendah yang memerlukan prioritas perbaikan yaitu Product Failure in Grinding Process (PFGP) dan Product Failure in Mixer Process (PFMP). Kata Kunci: Pengukuran, Performansi, Rantai, SCOR, Model, Process

scholarly journals ANALISIS KINERJA RANTAI PASOK SEMEN INSTANS DENGAN PENDEKATAN SCOR MODEL DAN AHP DI PT. XYZ

JUMINTEN ◽  
2020 ◽  
Vol 1 (5) ◽  
pp. 109-120
Author(s):  
Muhammad Trisyadi Waluya Jati ◽  
Dira Ernawati ◽  
Nur Rahmawati
Keyword(s):  
Supply Chain ◽  
Asset Management ◽  
Performance Indicator ◽  
Key Performance Indicator ◽  
Chain Operation ◽  
Scor Model ◽  
Supply Chain Operation ◽  
Hierarchy Process

Kinerja adalah suatu aspek yang bisa diukur sebagai acuan dan harapan bagi instansi, organisasi dan perusahaan. DI PT. XYZ merupakan perusahaan manufaktur dan beberapa tahun ini perusahaan mengalami beberapa permasalahan pada proses rantai pasok, mulai dari keterlambatan pengiriman ke beberapa toko material, produk cacat, dan menumpuknya stok yang ada di gudang. Itu bisa terjadi karena beberapa faktor yaitu, proses pegiriman produk, proses produksi, SDM (sumber daya manusia) dan proses yang ada kaitannya dengan supply chain mulai dari proses awal sampai akhir pengiriman. Oleh karena itu perlunya analisis kinerja perusahaan di bagian beberapa departemen yang berhubungan dengan rantai pasok dan dianalisa untuk mengetahui kinerja pada proses supply chain. Metode penelitian yang digunakan ialah SCOR model (Supply chain Operation Reference) dan AHP (Analitical hierarchy process) dan penelitian ini bertujuan untuk mengetahui kinerja rantai pasok dan diperlukan key performance indicator (KPI) yang spesifik agar jadi acuan yang jelas dalam mengukur rantai pasok. Berdasarkan perhitungan dari SCOR model diperoleh nilai masing–masing attribut yaitu: Reliability dengan nilai 17,39, Responsiveness 22.98, Agility 11,76, Cost 7,15 dan Asset Management dengan nilai 7,16. Total nilai Performansi SCOR yang didapatkan perusahaan berada pada kategori Average dengan nilai 66,44.

scholarly journals Performance analysis of Supply Chain Management with Supply Chain Operation reference model

2018 ◽  
Vol 1007 ◽  
pp. 012029
Author(s):  
Abdurrozzaq Hasibuan ◽  
Mahrani Arfah ◽  
Luthfi Parinduri ◽  
Tri Hernawati ◽  
Suliawati ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Analysis ◽  
Reference Model ◽  
Chain Management ◽  
Chain Operation ◽  
Supply Chain Operation

A Big Data Framework for Decision Making in Supply Chain

2019 ◽  
pp. 1-22 ◽  
Author(s):  
Kamalendu Pal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Information And Communication Technologies ◽  
Data Storage ◽  
Reference Model ◽  
Handheld Devices ◽  
Operational Environment ◽  
Scor Model ◽  
Mathematical Techniques

The advent of information and communication technologies (ICT) ushers a cost-effective prospect to take care of large volumes of complex data, commonly known as “big data” in the supply chain operational environment. Big data is being generated today by web applications, social media, intelligent machines, sensors, mobile phones, and other smart handheld devices. Big data is characterized in terms of the velocity, volume, and variety with which it produces along the supply chain. This is due to recent advances in telecommunication networks along with centralized and decentralized data storage systems, which are processed thanks to modern digital computational capabilities. There is a growing interest in the use of this large volume of data and advanced analytics for diverse types of business problems in supply chain management (SCM). Such decision-support software applications employ pure mathematical techniques, artificial intelligence techniques, and sometimes uses both techniques to perform analytical operations that undercover relationships and patterns within supply chain generated big data. This chapter proposes a framework for the utilization of big data in SCM decision making. The framework is based on the SCOR (supply chain operations reference) model, which is endorsed by Supply Chain Council (SCC). The proposed framework is influenced by the enterprise potential of augmented reality and virtual reality in supply chain applications, and it identifies key categories of big data analytics applications for the key businesses of SCOR model. Finally, the chapter highlights research issues to extract insight from big data sources for enterprise decision making.

Standard Bridge Engineering Supply Chain Behavior Analysis Using Computer Simulation Technology

2013 ◽  
Vol 405-408 ◽  
pp. 3495-3498
Author(s):  
Nai Hsin Pan ◽  
Ming Li Lee
Keyword(s):  
Supply Chain ◽  
High Speed ◽  
Evaluation Method ◽  
Reference Model ◽  
Simulation Software ◽  
Bridge Engineering ◽  
Chain Process ◽  
Analysis And Design ◽  
Scor Model ◽  
Performance Evaluation Method

This paper tries to use systematic approaches for analysis and design of the construction supply chain operation model. According to the Supply Chain Operations Reference Model, SCOR Model of Supply Chain Council, SCC in 1996 and based on this model and application to the SCOR Model, this research places focus on the supplydemand behaviors of the Taiwan High Speed Railroad (HSR) construction process as a case study. This paper uses the concept of SCOR Model and appliance to Dynamic Simulation software, namely, SIMPROCESS, trying to assist in establishing a hierarchical model to explore the behavior of construction supply chain process and developing a performance evaluation method which can help improve supply chain management (SCM) of the construction project.

Sign in / Sign up

Export Citation Format

Share Document