May 17, 2020

WITNESS helps Mars to maximise capacity and reduce risk

fast moving consumer goods
Supply Chain
Logistics
mars ch
Freddie Pierce
3 min
Mars has enlisted the help of WITNESS by Lanner
Follow @SamJermy Follow @SupplyChainD Mars Chocolate has decided to use modelling software to optimise its capacity planning and boost production. The...

 

Mars Chocolate has decided to use modelling software to optimise its capacity planning and boost production. The WITNESS model, which represents real world processes in a dynamic animated computer and then experiments with alternative 'what-if ?' scenarios to identify optimal solutions, generated a five-year view.

While the initial runs confirmed that short-term capacity was sufficient, it also provided a detailed view of where, when, and under what conditions Mars will need further capital investment. The company runs the model every six months as part of its long-term planning and budgeting process. Additionally, due to the positive results of the model, Mars has been able to locate other supply chain opportunities that need a similar modelling approach.

Paul Myler, Supply Chain Strategy Director, Mars Chocolate North America said: “In WITNESS, we have an evergreen tool to inform business investment plans and achieve very detailed insight into future planning,

“We’ve seen reduced risk, improved business confidence and greater control over our planning processes.  This means that we can confidently deliver against our Quality Principle, ensuring the best quality products for our customers.”

One of the project’s key objectives was to determine the best way to manufacture chocolate within close proximity to its customer base, to ensure delivery of the freshest, best quality chocolate.

 

The production challenges of chocolate

Chocolate production has inherent challenges: it can’t be stored in bulk over a long period of time, so it presents fulfilment challenges when demand peaks.

Chocolate manufacturers must be able to supply the finished goods lines within a short timeline. Accurate capacity planning is key to ensuring the chocolate supply process can meet the demands of the business while balancing the asset costs of upside capacity.

Mars Chocolate North America operates several finished goods lines across nine manufacturing sites in the United States, with a tenth factory opening soon in Topeka, Kansas. Each site has different chocolate-making capabilities and chocolate usage requirements.  The internal supply chain is complex, with multiple chocolate types and variable product mixes that create a very dynamic fulfilment challenge.

 

Refining

Faced with these complexities and an additional manufacturing plant opening in early 2014, the Mars Supply Chain Team decided to assess its business plan and refine capacity levels across its network. Mars had insight into the relationships and variability of the chocolate production and consumption processes through traditional modelling (e.g., static excel models, MRP, etc.).

But it needed a more dynamic tool to understand what conditions and levels of utilisation were likely to result in supply disruption due to the complexities and interdependencies involved in capacity planning across the multiple sites.

Mars had used WITNESS predictive simulation software from Lanner in a number of areas across its global operations in the past –primarily for line level loading and packaging process modelling.

Myler explained: “Static modelling works well in certain areas, but we needed a tool like WITNESS that could explore high volumes of ‘what-if’ scenarios.”

 

Future business planning

Mars worked closely with Lanner to create a WITNESS simulation model that predicted supply chain performance based on different chocolate producing and consuming configurations and product mixes across several different manufacturing sites. 

A key focus of the model was to understand the impact of strategic trade-offs, for example, whether it is better for the business to make all chocolate types at the consuming location, or to build fewer, larger chocolate-making facilities and ship products across the country (hub and spoke vs. point to point network).

The use of predictive simulation has provided Mars with insight into its existing and planned future operations, identifying current risks throughout the supply chain and highlighting opportunities for cost savings and performance improvements.

In turn, this has provided foresight to build business cases for new facilities and justify investments in chocolate-making capacity, ensuring the right investments are made at the right time.

For more information, visit http://www.lanner.com/en/witness.cfm and http://www.mars.com/global/brands/chocolate.aspx

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Jun 17, 2021

Cainiao Network Launches Customer-Centric Logistics

Cainiao
Alibaba
Logistics
Tmall618
3 min
Cainiao will focus on the customer experience in Singapore and Malaysia during its Tmall 618 Mid-Year Shopping Festival

As the logistics division of the Alibaba Group, Cainiao Smart Logistics Network has decided to provide its Southeast Asian customers with unsurpassed service during its annual shopping festival. Based on customer feedback surveys, the company will expand its real-time customer service support and speed up delivery times. ‘By expanding and deepening our services, we aim to provide a stronger logistics infrastructure that can bolster the booming eCommerce sector, support merchants’ expansion into new markets and diversify retail options for consumers’, said Chris Fan, Head of Cross-Border, Singapore, Cainiao Network.

 

Who Is Cainiao? 

According to TIME Magazine, Cainiao ‘is far from a typical logistics firm’. The company controls an open platform that allows it to collaborate with 3,000 logistics partners and 3 million couriers. This means that merchants can choose the least expensive and most efficient shipping options, based on Cainiao’s real-time logistics analytics. The company’s goal is to ship packages anywhere in the world in under 72 hours—and for less than US$3.00. 

 

For countless small business owners around the world, from coffee-growers to textile-weavers, this could change everything. Usually, it costs about US$100 to ship a DHL envelope from Shanghai to London in five days. Cainiao aims to change that. Said its CEO Wan Lin: ‘The biggest barrier to globalisation is logistics’. 

 

What’s Part of the Upgrade? 

Throughout the Tmall festival, Cainiao’s logistics upgrade will be divided into four critical segments: 

 

  • Real-time customer service support. Cainiao has launched a direct WhatsApp channel for customers to receive logistics updates and ask questions. 
  • Expansion of air freight parcel size and weight limits. Packages can now be up to 30 kilograms or 1-metre x 1.6 meters to help ship large items such as furniture. 
  • Daily air and sea freight connections. Shipping frequency will almost double to seven times weekly to maintain resilience and efficiency. 
  • Compensation for lost or damaged packages. Customers will be reimbursed up to RMB 2,000 (US$311). 

 

Where is the Company Headed? 

From June 1st to June 20th, the finale of Tmall, Cainiao will ensure that its customers feel confident in the company’s ability to deliver their packages. Despite global shipping delays due to COVID, the show will go on. Said Fan: ‘This series of customer-centric logistics upgrades reaffirms our goal of pursuing value-added services to enhance customers’ shopping experience while mitigating challenges posed by external factors’. 

 

Furthermore, Cainiao has recently expanded its Southeast Asian operations, achieving revenue growth of 68% year-over-year. In Malaysia, the logistics operation has partnered with BEST Inc. and Yunda; in Singapore, the company has partnered with Roadbull, Park & Parcel, and the Singapore Post. And if its recent measures help retain and grow its customer base, the company will be well-poised to lead the industry in resilient and customer-centric global logistics. ‘COVID-19 made everyone realise how important the logistics infrastructure backbone is’, said Wan. ‘And it gave us a peek at what Cainiao should look like in three years’. 

 

 

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